کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
403631 | 677289 | 2014 | 9 صفحه PDF | دانلود رایگان |
• Rule-base evidential reasoning.
• Atannasov’s intuitionistic fuzzy sets.
• Dempster-Shafer theory of evidence.
A new approach to the rule-base evidential reasoning based on the synthesis of fuzzy logic, Atannasov’s intuitionistic fuzzy sets theory and the Dempster-Shafer theory of evidence is proposed. It is shown that the use of intuitionistic fuzzy values and the classical operations on them directly may provide counter-intuitive results. Therefore, an interpretation of intuitionistic fuzzy values in the framework of Dempster-Shafer theory is proposed and used in the evidential reasoning. The merits of the proposed approach are illustrated with the use of developed expert systems for diagnostics of type 2 diabetes. Using the real-world examples, it is shown that such an approach provides reasonable and intuitively obvious results when the classical method of rule-base evidential reasoning cannot produce any reasonable results.
Journal: Knowledge-Based Systems - Volume 61, May 2014, Pages 109–117