Abstract: A method for selecting consumers is presented. The method comprises the steps of receiving consumers' data, historical response data, contractual obligations data of a plurality of consumers; receiving a demand response event's description data, determining at least one parameter corresponding to each of the plurality of consumers based upon one or more of the consumers' data, the historical response data, the contractual obligations data and the demand response event's description data, and selecting a subset of consumers from the plurality of consumers based upon the at least one parameter, wherein the at least one parameter comprises a potential load reduction for each of the plurality of consumers.

Abstract: A process is described for evaluating the decision-making confidence of a process and system for at least a partial underwriting of insurance policies where placement of an insurance application to an underwriting category is based on its similarity to previous insurance applications. The confidence factor computed is a measure of the correctness of the decision for a given application for insurance.

Abstract: A system is described for evaluating the decision-making confidence of a process and system for at least a partial underwriting of insurance policies where placement of an insurance application to an underwriting category is based on its similarity to previous insurance applications. The confidence factor computed is a measure of the correctness of the decision for a given application for insurance.

Abstract: A system and method for processing healthcare service data is herein disclosed. The system comprising a decision engine in communication with a process manager and a knowledge source. The decision engine receives at least one protocol from the knowledge source that is derived by automated learning and applies the at least one protocol to healthcare service data and transmits a response to the process manager such that the response is indicative of a next workflow step to be taken.

Abstract: Material selection systems and methods for quickly identifying which existing material best matches a desired set of properties are described so that product development time can be minimized. Users may input the properties they desire in a material, which properties they want searched and scored, the acceptable values of those properties, and a priority value for each property. Preliminary matching materials may be retrieved from a materials database, and an index value for each property value may be calculated. One of four fuzzy membership functions may then be utilized to calculate a scored property value for each property of each material. The scored property value may then be weighted to account for the priority value assigned to each property. The results may then be sorted in descending order based on their overall match scores, and output to the user so the best matching material(s) is readily identifiable by the user.

Abstract: Material selection systems and methods for quickly identifying which existing material best matches a desired set of properties are described so that product development time can be minimized. Users may input the properties they desire in a material, which properties they want searched and scored, the acceptable values of those properties, and a priority value for each property. Preliminary matching materials may be retrieved from a materials database, and an index value for each property value may be calculated. One of four fuzzy membership functions may then be utilized to calculate a scored property value for each property of each material. The scored property value may then be weighted to account for the priority value assigned to each property. The results may then be sorted in descending order based on their overall match scores, and output to the user so the best matching material(s) is readily identifiable by the user.

Abstract: A system is described for evaluating the decision-making confidence of a process and system for at least a partial underwriting of insurance policies where placement of an insurance application to an underwriting category is based on its similarity to previous insurance applications. The confidence factor computed is a measure of the correctness of the decision for a given application for insurance.

Abstract: A process is described for evaluating the decision-making confidence of a process and system for at least a partial underwriting of insurance policies where placement of an insurance application to an underwriting category is based on its similarity to previous insurance applications. The confidence factor computed is a measure of the correctness of the decision for a given application for insurance.

Abstract: A system and method are proposed wherein knowledge and tools for solving business problems are accessible through a single distribution point. The wizard central system and method allows for developing, approving, revising, searching for and using of web based wizards or tools. After use, the wizards or tools can be stored in a centralized solution repository for later retrieval and analysis. The wizards and tools are categorized based on pre-defined criteria. Searches are thus limited by the categorization and the user is shown only wizards and tools which are applicable to the business problem. The system also provides an approval and revision workflow for the wizards and tools. This workflow provides the capability of revising the wizard or tool knowledge base to keep it current with evolving expert opinion and design documentation.

Abstract: A method for estimating the price of real property such as a single family residence. A set of real estate properties comparable to the subject property is retrieved. The comparable properties and the subject property are characterized by a plurality of common attributes each having a respective value. Each attribute value from the comparable properties are evaluated to the same attribute value of the subject property on a fuzzy preference scale indicating desirable and tolerable deviations from an ideal match with the subject property. A measurement of similarity between each comparable property and the subject property is then determined. Next, the price of the comparable properties are adjusted to the value of the subject property and the best properties are extracted for further consideration. The extracted comparable properties are then aggregated into an estimate price of the subject property.

Abstract: A computer-implemented method for estimating a dollar per square foot value of a subject property. A set of properties comparable to the subject property are retrieved. The comparable properties are characterized by a plurality of common attributes each having a respective value. The plurality of common attributes include distance from the subject property, sale price, and living area. The distance of the comparable properties to the subject property are rated on a fuzzy preference scale indicating desirable and tolerable deviations from an ideal match with the subject property. Each evaluation generates a weighted preference. The sale price and the living area from each of the comparable properties are then aggregated with the weighted preference for that comparable into a dollar per square foot estimate of the subject property.

Abstract: A computer-implemented method for validating specified prices on real property. A set of real estate properties comparable to the subject property are retrieved. A measurement of similarity between each comparable property and the subject property is then determined. A plurality of adjustment rules are then applied to adjust the price of the comparable properties. The adjusted comparable properties are then extracted, sorted, and ranked, according to the specified sale price. The extracted comparable properties are then aggregated into an estimate price of the subject property. After aggregation, the estimate price of the subject property is compared to the specified price and a measurement of confidence validating the reliability of the specified price is then generated.

Abstract: The present invention discloses a system and a method for estimating a measure of confidence in a match generated from a case-based reasoning system. The measure of confidence is determined by using a confidence function that is derived for all existing cases in the case base. The confidence function is then used to estimate the confidence of any matches between a new case and an existing case. In the present invention, a retrieval unit uses a similarity index and retrieves any existing cases from the case base that has a measurement of similarity to the new case that is within a predetermined similarity threshold. The confidence function then maps the similarity measurement for each retrieved case to a corresponding measure of how many different outcomes are likely given the level of similarity. A report of the existing cases that have the best measures of confidence are then provided in a list.