Measurement of Multiple Cognitive Judgments Model - Fuzzification of Social Judgment Theory Case Study
Author
Abstract
This study aims to propose a measurement improvement method for multiple cognitive judgments with a case study using fuzzification of social judgment theory. The empirical results show fuzzy set theory (FST) can efficiently improve the weights of social judgment theory (SJT). The main conclusions find (1) Qualitative method can provide decision makers with judgment value evaluation for cues, that linguistic variables can reflect the decision preference of programs. (2) Applying fuzzy set it is required to offer an appropriate judgment value range of linguistic variable for decision makers. That includes interval of linguistic variable and the type of fuzzy membership function. (3) Better results comes from appropriate methods for confirming the interval of linguistic variable, type of fuzzy membership function and range in advance, therefore decision makers can make judgments better in SJT model. Finally integrating fuzzy set theory with SJT can contribute to better results.
Key Words
Social Judgment Theory, Fuzzy Set Theory, Decision Making, Weights
