Abstract: Embodiment of the present disclosure discloses method and device for obtaining at least one influencing causal factor based on expert subjective judgement. Initially, first relative weightage values of plurality of predefined causal factors associated with each of one or more decision trees of classification in decision-making model is determined. Decision space is determined for classification based on first relative weightage values and base hypothesis associated with classification. The decision space is mapped with expert subjective judgment provided by expert user for classification. Error value associated with classification is determined based on mapping. Base hypothesis of classification is optimized such that optimized base hypothesis corresponds to minimum value of error value. Influencing causal factor from plurality of predefined causal factors are obtained by performing ensemble technique using optimized base hypothesis.

Abstract: Embodiment of the present disclosure discloses method and device for obtaining at least one influencing causal factor based on expert subjective judgement. Initially, first relative weightage values of plurality of predefined causal factors associated with each of one or more decision trees of classification in decision-making model is determined. Decision space is determined for classification based on first relative weightage values and base hypothesis associated with classification. The decision space is mapped with expert subjective judgment provided by expert user for classification. Error value associated with classification is determined based on mapping. Base hypothesis of classification is optimized such that optimized base hypothesis corresponds to minimum value of error value. Influencing causal factor from plurality of predefined causal factors are obtained by performing ensemble technique using optimized base hypothesis.