Abstract: Methods and systems for an inferential logic engine (ILE) for an interactive product selector. In an embodiment, the interactive product selector provides a user with purchase decision questions (PDQs) regarding a product/service specified by the user. Subject matter experts familiar with the specified product/service can survey the potential user responses to PDQs, and based upon the responses, establish inferences. User selections or responses can be represented logically, and a user's selections satisfying a given logical expression can cause the ILE modify the page presentation. In an embodiment, the ILE can be integrated with a Fuzzy Logic Engine (FLE), wherein inferential information can provide additional input to an existing FLE, or can filter the outputs of an existing FLE.

Abstract: A system and method for tuning a raw mix proportioning controller used in a cement plant. A fuzzy logic supervisory controller tracks the performance of a cement plant simulator to target set points for attaining a correct mix and composition of raw materials. A genetic algorithm adjusts the fuzzy logic supervisory controller's performance by adjusting its parameters in a sequential order of significance.

Abstract: The invention includes a system and method for generating fulfillment value at risk scores and assessing the stability of the fulfillment value at risk scores for a portfolio of location and item pairs. The fulfillment value at risk score may be generated using fuzzy logic inference and exploratory data analysis and its stability is assessed using bootstrap algorithms.

Abstract: A method and structure for identifying database association rules includes mining first database association rules, the first database association rules having ratings with respect to a plurality of metrics, selecting second database association rules from the first database association rules, each of the second database association rules having a highest rating with respect to a different metric of the metrics, and interactively changing the metrics and repeating the selecting to identify most important ones of the databases association rules for a given set of metrics.

Abstract: A method and structure for identifying database association rules includes mining first database association rules, the first database association rules having ratings with respect to a plurality of metrics and population constraints, selecting second database association rules from the first database association rules, each of the second database association rules having a highest rating with respect to a different metric of the metrics, and interactively changing the metrics and repeating the selecting to identify most important ones of the databases association rules for a given set of metrics.

Abstract: A knowledge modeling and delivery system combines pre-configured, parameterized models of human resource knowledge with organization-specific and employee-specific data. It delivers personalized answers to employee and manager questions about benefit plans, payroll, human resource (HR) policies, procedures, and practices. The pre-configured, parameterized models can be created and maintained outside the organization, the organizational data are created and maintained by the organization, and personal data are accessed or read from existing human resource management systems (HRMS's). This threefold partitioning yields a system that can be quickly customized to an individual organization, yields detailed and accurate information for individuals within the organization, and can be maintained in a cost-effective manner.

Abstract: An efficient method for determining the periodic steady state response of a circuit driven by a periodic signal, the method including the steps of 1) using a shooting method to form a non-linear system of equations for initial conditions of the circuit that directly result in the periodic steady state response; 2) solving the non-linear system via a Newton iterative method, where each iteration of the Newton method involves solution of a respective linear system of equations; and 3) for each iteration of the Newton method, solving the respective linear system of equations associated with the iteration of the Newton method via an iterative technique. The iterative technique may be a matrix-implicit application of a Krylov subspace technique, resulting in a computational cost that grows approximately in a linear fashion with the number of nodes in the circuit.

Abstract: Because of the enormous number of neurons and reflex pathways involved in the control of human motion, a comprehensive identification of the structure of the feedback control circuitry is a formidable experimental task. A theoretical approach based on a carefully developed model could shed light on its likely general structure, thereby providing guidance to experimenters. This paper presents a fuzzy logic based control strategy for modeling the human postural dynamics. In particular, we develop a fuzzy controller to coordinate the movement of a three segment sagittal human model to achieve upright posture. The actuation mechanism of the system consists of six muscle like actuators which are co-activated to modulate the stiffness at the joints. Simulation results are presented to illustrate the underlying principles.

Abstract: An architecture of multiple agents is provided, based on a negotiating agents' approach to resolving feature interactions. An event-based model is used to detect feature interaction, and fuzzy constraints are applied to the policies that describe the system. A mechanism is established by which the user may add rules or provide the system with parameters that affect the outcome of any conflict that may occur, thereby giving real control over the conflict to the end user.

Abstract: An integrated circuit comprising a logic processor and a fuzzy logic coprocessor is disclosed which processes a plurality of analog inputs. The logic processor and fuzzy logic processor are combined in the form of a single integrated circuit. The integrated circuit accepts a plurality of analog inputs which are digitized and provided as output to a display peripheral or are used to control an actuator peripheral such as a control unit for a valve. The integrated circuit includes means for loading or exchanging informational elements with other units of an installation.

Abstract: A method and system for determining similarity between a first event set, the first event set including a first plurality of event types, and a second event set, the second event set including a second plurality of event types, is provided. Observed events are randomly mapped to a multidimensional vector-Q and query events are mapped to a multidimensional query vector-q. Comparison of the vectors for a predetermined similarity according to: ∥Q-q∥≦SV, where SV=a predetermined similarity value determines similarity.

Abstract: A novel statistical learning procedure that can be applied to many machine-learning applications is presented. Although this boosting learning procedure is described with respect to its applicability to face detection, it can be applied to speech recognition, text classification, image retrieval, document routing, online learning and medical diagnosis classification problems.

Abstract: The present invention provides a method and system for representing fuzzy information, and performing fuzzy logic and control operations on that information, using a quantum system. According to one embodiment fuzzy logic and control operations are performed on a quantum computer. The present invention extends quantum information processing beyond purely Boolean-logical information processing, by providing a quantum mechanical method for representing fuzzy information and realizing fuzzy logic and control.

Abstract: A fuzzy logic based digital color transition improvement method and apparatus for increasing color sharpness by replacing the slow transition color edges with edges that have steeper rising and falling times. Fuzzy logic used here to decide where the transition happens and how to enhance the signal when transition happens. Based on the results of fuzzy logic inference, through weighting among input digital color signal, its N-pixel delayed signal and 2N-pixel delayed signal, the output signal has steep and smooth color edges without ringing.

Abstract: System and methods for printer suggested training using fuzzy logic analysis. A printer tracks printer usage relative to the features of the printer and the type of print jobs performed. Using a fuzzy logic protocol, the printer then selects an appropriate training package based upon the tracked usage. A message is then generated sent to a network administrator, or other user, suggesting the selected training package.

Abstract: A method 10 for analyzing the attribute of a product by probabilistically modeling certain variables associated with the product.

Abstract: This invention proposes a novel nonlinear filter called adaptive weighted fuzzy mean (AWFM) filter which is capable of removing high density Gaussian impulse noises in polluted images. Via a single epoch, weights of the filter are departed according to a set of fuzzy rules, which are constructed by a proposed procedure. All the fuzzy rules in the knowledge base infer concurrently for input nature estimation and filter adaptation. Statistic analyses ensure that this AWFM filtering possesses robust and consistent performance even when images are thoroughly polluted. The AWFM filter is synthesized with generic LR fuzzy cells which adopts CMOS analog current mode technology to subject high speed, low power, and small circuit area objectives. Simulations show that parallel inferences realized by the generic LR fuzzy cells, each of which performs 20 M FLIPS (fuzzy logic inferences per second) promise that the synthesized AWFM filter is able to process up to 50 256×256 images per second.

Abstract: A technique for clustering input data includes receiving data and reading a sample of the received data having a predetermined window length. The technique further includes checking the read sample of data for uncertainty and/or robustness and determining the clustering approach to be used to cluster the received data based on the outcome of the checking.

Abstract: A fuzzy-logic on-board device for motoring and processing motor vehicle operating data comprising a on-board network connector, a front-end device, a CPU, an integrated store, a power management system and a peripheral device interface connector.

Abstract: Small, optimized sequences of binary 5-tuples, representing filter rules, which achieve space efficient packet filtering. A post-match procedure table allows dynamic and extensible packet processing. Packet filtering is accomplished by processing filter rule statements and procedure statements, entered by a user in a rules file, to generate 5-tuple filtering rules and a procedure table, and loading the filtering rules and procedure table into the filter interpreter. A filter interpreter then applies the resolved filtering rules for each packet received at the network adapter. When a filtered packet matches a rule, a specified function is invoked.

Abstract: A neural network construct is trained according to sets of input signals (descriptors) generated by conducting a first experiment. A genetic algorithm is applied to the construct to provide an optimized construct and a CHTS experiment is conducted on sets of factor levels proscribed by the optimized construct.

Abstract: A knowledge modeling and delivery system combines pre-configured, parameterized models of human resource knowledge with organization-specific and employee-specific data. It delivers personalized answers to employee and manager questions about benefit plans, payroll, human resource (HR) policies, procedures, and practices. The pre-configured, parameterized models can be created and maintained outside the organization, the organizational data are created and maintained by the organization, and personal data are accessed or read from existing human resource management systems (HRMS's). This threefold partitioning yields a system that can be quickly customized to an individual organization, yields detailed and accurate information for individuals within the organization, and can be maintained in a cost-effective manner.

Abstract: The outlier detection device for detecting abnormal data in a data set includes an outlier rule preservation unit for holding a set of rules characterizing abnormal data, a filtering unit for determining whether each data of the data set is abnormal data or not based on the rules held in the outlier rule preservation unit, a degree of outlier calculation unit for calculating a degree of outlier indicative of a degree of being abnormal with respect to each data determined not to be abnormal data by the filtering unit, a sampling unit for sampling each data whose degree of outlier is calculated by the degree of outlier calculation unit based on the calculated degree of outlier to apply a label indicating whether data is abnormal data or not to the sampled data, and a supervised learning unit for generating a new rule characterizing abnormal data by supervised learning based on a set of the respective data to which the label is applied and adding the new rule to the set of rules held in the outlier rule preserva

Abstract: The universal, Web browser-based Enterprise JavaBean (EJB) test client is itself a Java 2 Enterprise Edition (J2EE) application packaged in a Web archive file. This archive, when extracted, consists of a set of files that are installed on a target application server. The installation makes it possible for a user of a Web browser on a workstation remote from the application server to perform a number of tests on, and invoke, methods in EJB beans that are installed on the staging, or even production, servers. It is also possible to perform tests in real time under real conditions.

Abstract: A fuzzy-neuro method uses a neuro network to discriminate optical disk type. The fuzzy-neuro method establishes a plurality of characteristic signal sets corresponding to the optical disks of various formats; and uses the neuro network to match the optical disk under question to the characteristic signal sets for finding the type thereof.

Abstract: Method and apparatus for combining a plurality of overlapping policy-based controllers. System also applicable to policy-based process servers. System combines controllers by combining the respective policy information. System combines a plurality of policy-based sub-controllers by combining the associated distributional information contained in the associated sub-policies. An iterative mixture mechanism with temporal persistence regulates the relative contribution of the sub-policies smoothly over time thereby allowing smooth transition of control from one control regime to another. The system provides for modular detection and resolution of conflicts that may arise as a result of combining otherwise incompatible sub-policies. Preferred embodiment performs mixture method in policy space. Another embodiment applies mixture method to value functions associated with each sub-server.

Abstract: The present invention provides an event-correlation technique that can infer from patterns of events to achieve improved problem analysis in communication networks. Further, the technique adapts itself to uncertainties and changes in communication networks to better serve the needs of communication networks. This is accomplished by forming fuzzy cognitive maps including causally equivalent fragments using the network element interdependencies derived from a database defining the network managed objects and event notifications that can convey the state of one or more managed objects. The technique further samples generated incoming real-time events from the communication network. The sampled events are then mapped to the fragments to diagnose problems.

Abstract: A circuit implementing a non-integer order dynamic system includes a neural network that receives at least one input signal and generates therefrom at least one output signal. The input and output signals are related to each by a non-integer order integro-differential relationship through the coefficients of the neural network. A plurality of such circuits, implementing respective non-integer order controllers can be interconnected in an arrangement wherein any of the integral or differential blocks included in one of these circuits generates a signal which is fed to any of the integral or differential blocks of another circuit in the system.

Abstract: A neuro-fuzzy filter device that implements a moving-average filtering technique in which the weights for final reconstruction of the signal are calculated in a neuro-fuzzy network according to specific fuzzy rules. The fuzzy rules operate on three signal features for each input sample. The signal features are correlated to the position of the sample in the considered sample window, to the difference between a sample and the sample at the center of the window, and to the difference between a sample and the average of the samples in the window. The filter device for the analysis of a voice signal includes a bank of neuro-fuzzy filters. The signal is split into a number of sub-bands, according to wavelet theory, using a bank of analysis filters including a pair of FIR QMFs and a pair of downsamplers; each sub-band signal is filtered by a neuro-fuzzy filter, and then the various sub-bands are reconstructed by a bank of synthesis filters including a pair of upsamplers, a pair of FIR QMFs, and an adder node.

Abstract: A control system for an actuator employs a number of discrete feedback controllers each tuned to different operating conditions or parameters. The competing outputs of the feedback controllers are combined using fuzzy logic which dynamically effects a combination depending on the output values. One set of rules in the preferred embodiment gives greater weighting to the output having relatively lower effect on the control process.

Abstract: A fuzzy logic controller system comprising a plurality of fuzzy logic controller units cascadably coupled to one another, each controller having a membership processor for receiving a single input signal corresponding to a sensed parameter from a controlled system and performing fuzzy inference operations based on the input signal for outputting an incremental output signal indicative of a requested change in a controlled output from a current level, a permissions processor for scaling the incremental output signal in response to a fulfillment signal from another controller, a processor responsive to the membership processor and to the permissions processor for providing a fulfillment signal to another controller indicative of a permissible range of freedom for scaling the incremental output signal of the another controller in the cascading sequence, an adder for summing each of the incremental output signals from the plurality of controllers and applying the sum to the controlled output for providing a corre

Abstract: A fuzzy inference system and method are disclosed that may be used not only with known or definite data input but also with uncertain data input. The uncertain data input may be represented by a set of values wherein the possibility of any particular or specific value within the set being the true or accurate value is uncertain. A set of rules are provided within a rule decomposer that are used to produce a plurality of mappings such as a plurality of one dimensional solutions. A union operator is utilized for determining a conjunction of the plurality of mappings such as the plurality of one dimensional solutions. The system output may then be used for control purposes such as, for example only, a combat control system to provide a tactical picture, decision assist, presets for a guidance system, or the like.

Abstract: A codifying and storing method for membership functions representing a membership degree of fuzzy variables defined within a universe of discourse which is discretized into a finite number of points is provided. The membership functions are quantized into a finite number of levels corresponding to a finite number of membership degrees and are stored by means of a characteristic value of each sub-set of values of fuzzy variables having for their image the same value of the membership degree corresponding to one of said levels. Also provided is a method for calculating the value of the membership degree of a fuzzy variable defined within a universe of discourse discretized into a finite number of points with reference to a membership function thereof, as well as to a circuit for calculating the membership degree of a fuzzy variable with reference to a membership function thereof.

Abstract: A method of determining the visibility of a target in a background uses search time as the output. A set of images of the target in the background is made, and selected input variables in each image are measured. The input variables relate to target size, target juxtaposition relative to the viewer's location, luminance of the target and luminance of the background scene. One version of our method additionally uses wavelet edge points as an input variable. Each input variable, as well as the output variable, has several applicable membership functions by which membership values are assigned to the variables. Choosing membership functions for variables is done by fuzzy rules. Applying the fuzzy rules and membership functions produces multiple values for the output variable. These values are defuzzified to obtain a crisp end result. This result can disqualify proposed target designs or to help select among several good designs of the target.

Abstract: An electronic device, such as a pet robot, having an autonomic function that facilitates the development of certain personalities based on user inputs is described. Controls allow the user to specify an initial personality or to re-initialize the pet robot with a new personality. The selected personality is used as a starting point, and the personality of the pet robot develops and changes automatically after that until such time as the user decides to re-initialize the personality or select a new personality for the pet robot. In one embodiment the user selects a single personality for the pet robot. In one embodiment the user selects a plurality of personalities for the pet robot and an initialization module builds a composite personality by combining the plural personalities into a single composite personality.

Abstract: For encoded membership functions used to identify the atomic conditions defining the antecedents of fuzzy inferences, and also for the determination of the operands of the antecedents, corresponding stores are configured for the storage of the already available values of these encoded membership functions and of the operands. At the time of identification of a new value for the quantities, a check is made to see whether this value is already present in the corresponding store. If the outcome of this check is positive, in the case of encoded membership functions, the mechanism by which the encoded fuzzy inferences point to these functions is changed, so that the pointers of the encoded fuzzy inferences are redirected towards the membership functions which are already stored.

Abstract: To resolve a problem of the repairing of an electronic system, a machine will undergo a learning stage during the replacement of a part of the machine. This learning stage can be monitored manually or automatically on a limited range of variation. During this learning stage, readings are taken of the resultant modifications on a structure of the membership functions and of interference rules, memorized in a fuzzy logic program that controls the machine. These membership functions and/or theses rules are then modified as a function of this results. It is shown that it is possible, in this way, to repair a machine without replacing a defective part by a strictly identical part and without having to bring the machine back to the laboratory.

Abstract: A fuzzy processor with an improved architecture. The fuzzy processor includes a fuzzy rule processor, an internal fuzzy instruction memory, an internal knowledge base memory, an arithmetic-logic unit, a control unit that can execute non-fuzzy instructions that are typical of conventional microprocessors, and an internal memory for storing the non-fuzzy instructions. The improved fuzzy processor architecture has an ability to load other knowledge bases and other fuzzy rules from outside the processor concurrently and transparently with respect to instruction processing. The processor can also process both fuzzy instructions and non-fuzzy instructions, can perform conditional and unconditional jumps within a set of fuzzy rules that are being processed, and can conditionally swap the knowledge base or the set of rules that are to be processed.

Abstract: A medical checkup network system comprises a patient terminal for measuring the biodata of each patient including a blood pressure and a body temperature, a doctor terminal for allowing the medical staff to view the biodata of each patient for diagnosis and enter a medical support data including a schedule data and an advice data, and a center server for storing the data received from the those terminals. They are connected to each other over a communication network such as the Internet. In the system, the biodata of each patient stored in the center server can be registered and viewed by any of the patient terminal, the doctor terminal, the patient and the medical staff which have been registered in the center server. The system can thus protect the privacy of each patient about the biodata and permit the biodata of each patient to be shared by two or more members of the medical staff.

Abstract: A method for detecting fires and reacting thereto. A stationary, earth orbit satellite, drone aircrafts or piloted aircraft contains infrared detectors and optical means for detecting fires. A computer in the satellite, drone or piloted aircraft and/or on the ground analyzes image signals of the areas being monitored and, upon detecting infrared radiation of varying intensity and shape, indicative that a fire has started, generates signals which are indicative of the coordinate locations of the fire, the extent of the fire, the shape of the area(s) burning, the direction of movement of the fires, the speed(s) of the flame fronts, smoke condition, intensity of the fire, fire ball location(s), etc. In one form, a camera generates image signals which are digitized and recorded. Expert system logic is used to prioritize dangerous areas to assist in directing fire fighting.

Abstract: A framework for use with object-oriented programming systems provides an expert system shell that executes with a rule set developed by a framework user. The framework includes a condition manager object that keeps track of what conditions are true at any time and a rules compiler that processes the rules so they can be used by the condition manager. The conditions are a set of object classes that are organized into an inheritance hierarchy for use by the condition manager. A detector determines when to set conditions to true. When a condition state is changed, the condition manager realizes that one or more rules might indicate a particular action might now be appropriate. Therefore, the condition manager checks the rules against the conditions each time a condition changes. The expert system developer provides the set of rules and conditions appropriate for the knowledge domain of the expert system under development.

Abstract: The fuzzy filtering of a noise signal comprising a plurality of signal samples [s(t,k)] is carried out using as variables the variation of the signal in the considered window and the distance of the samples from a sample to be reconstructed, to distinguish the typical variations of the original signal from those due to the noise and to identify the signal fronts. The method comprises the steps of defining a current signal sample [s(t)] from among the plurality of signal samples, calculating a plurality of difference samples [D(t,k)] as the difference in absolute value between the current signal sample and each signal sample and defining distance values (k) between the current signal sample and each signal sample.

Abstract: To enable the putting into use of a monolithic integrated circuit comprising a processor and a fuzzy logic coprocessor, both having a single program memory in common, an operation is effected by which, at the time of the initializing of the integrated circuit, a volatile, random-access memory of the coprocessor is loaded with instructions stored in this single program memory.

Abstract: The calculation circuit comprises a subtracter having a first and a second input receiving a first and, respectively, a second input datum; a first output supplying a first output datum equal to the difference between the first and the second input datum; and a second output supplying a sign flag indicating the sign of the first output datum; an XOR logic gate having a first input receiving the sign flag, a second input receiving a first logic selection signal assuming a first level for the selection of the logical fuzzy union operation and a second level for the selection of the logical fuzzy intersection operation, and an output supplying a second logic selection signal; and a multiplexer having a first and a second datum input receiving the first and, respectively, the second input datum; a selection input receiving the second selection signal; and an output supplying a second output datum constituted by the first or the second input datum (A, B) as a function of the level assumed by the second selection s

Abstract: The analog processor of this invention is programmable and capable of storing the processing coefficients in analog form. It comprises a storage section having at least one output, plural outputs in most cases, and being adapted to respectively generate programming signals on such outputs; the storage section is input a plurality of supply voltage signals and is operative to produce, in connection with information stored therein, one of the supply voltage signals on each of the outputs, it being understood that one voltage signal may be produced on several such outputs. Advantageously, the processor can also be programmed in a simple manner from circuits of the digital type if switches controlled by storage elements are used in the storage section.

Abstract: A fuzzy processor which can be programmed and expanded is disclosed. The fuzzy processor has a membership function I/O circuit for inputting and outputting a plurality of membership functions respectively corresponding to each one of a plurality of features of each one of a plurality of standard patterns. A feature decoder receives a to-be-recognized pattern having a plurality of input features for generating a plurality of feature values. A membership function generator stores the plurality of membership functions and receives the plurality of feature values to generate a plurality of current-type membership degrees for the plurality of input features corresponding to the plurality of standard patterns respectively. A plurality of accumulators receive the plurality of current-type membership degrees respectively for generating a plurality of synthesis membership degrees.

Abstract: A fuzzy logic processor placed in a home automation communications network manages messages traveling through the network. To manage the messages, the fuzzy logic processor works in two stages. In a first stage, on a first part of the message, the fuzzy logic processor ascertains that the message is addressed to it, according to rules by which it recognizes that it is the addressee. Once it recognizes that it is the addressee, it is also capable of producing a routing command because the address of the sender of the signal is present in the message. This routing command is applied to a multiplexer located at the input, interfacing between the fuzzy logic processor and the network in order to route data elements, constituting another part of the message, to the appropriate input of the fuzzy logic processor.

Abstract: A musical tone signal generation apparatus accommodated for multiple users to play music in an ensemble is configured by a main unit and a prescribed number of performance operators, which are physically separated from each other. The main unit installs speakers that are arranged in connection with the performance operators respectively. Each performance operator installs at least a pad, which is manually operated by each user to issue tone-generation instructions. Performance data (e.g., MIDI data) and tone color data are provided with respect to at least a single musical tune constructed by plural parts respectively corresponding to plural tone colors, which are automatically assigned to the performance operators. In case of automatic performance, musical tone signals are automatically generated based on the performance data, so that the speakers produce corresponding musical tones.

Abstract: A processor operating in a fizzy logic's mode and including a fuzzyfication unit receiving a plurality of input variables on its input and being adapted to compute a membership value of such variables in a membership function, a processing unit connected downstream of the fuzzyfication unit to produce a fuzzy set, i.e. the results of fuzzy logic inference operations performed on the plurality of variables, and a defuzzyfication unit operative to translate the inference results into a so-called crisp value. The processor further includes a first memory device connected to the fuzzyfication unit and containing the set of membership functions, a second memory device connected to the defuzzyfication unit and containing the set of crisp value which appear in the THEN part of the fizzy rules, and a further memory device connected to the defuzzyfication unit.

Abstract: An adaptive fuzzy feature mapping (AFFM) technique provides a method for identifying and matching a new data pattern against a set of known data patterns using a combination of distance measurements and fuzzy logic functions. Known data patterns are stored as organized nodes in a pattern map wherein each organized node is defined by one or more attribute coefficients. As distance measurement is computed between a new data pattern and each organized node of the pattern map using distance measurement wherein the organized node having the smallest distance measurement to the new data pattern receives the highest ranking. Traversing the organized nodes according to the ranking, the new data pattern is compared to each organized node using fuzzy logic functions. If the new data pattern matches an organized node based on an acceptable degree of fuzziness, the attribute coefficients of the organized node are updated to reflect those coefficients of the new data pattern.