A SELF-ORGANIZED MULTI AGENT DECISION MAKING SYSTEM BASED ON FUZZY PROBABILITIES: THE CASE OF APHASIA DIAGNOSIS
Farzaneh Tatari, Majid Mazouchi · Iranian journal of fuzzy systems · 2014
Aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the denition of Aphasic syndromes, natural diversity and subjectivity in test objects as well as in options of experts who diagnose the disease. In this paper we present a new self-organized multi agent system that diagnoses dierent types of Aphasia based on fuzzy probabilities. In the proposed multi agent system, the characteristic of self organization is employed as both a decision making feature selection paradigm as well as a mechanism to estimate the probability mass functions of Aphasia factors. The estimated probability mass functions are involved in fuzzy probability calcu- lation of dierent types of Aphasia. The performance and robustness of the proposed method is compared with several earlier approaches. While the pro- posed method requires more of the available test parameters, the comparison clearly shows the superiority of the proposed method in terms of accuracy as well as robustness.