Intelligent Fuzzy Decision Making for Subjective Answer Evaluation Using Utility Functions

Abstract

Fuzzy systems offer numerous methods that prove helpful in solving application problems, where the governing parameters bear fuzziness in nature. In particular, many variants of fuzzy decision making models have been successfully explored as vocational guidance systems to assist decision makers in recognition and guidance processes, specially in the Medical diagnostic realm. In the present communication, an attempt is made to unreveal the fact that even the precisely chosen text fragments from a closed world domain incorporate the fuzzy boundaries among their term-to-term associations for machine-assisted acquisition and subsequent evaluation of Natural Language Semantics of that domain. This inspires further, to provide a decision-making tool that assists the Academicians in assessing the online submitted subjective answers at the candidatespsila end.