A new approach to the rule-base evidential reasoning in the intuitionistic fuzzy setting
详细信息 查看全文
- 作者：Ludmila Dymova ; Pavel Sevastjanov ; sevast@icis.pcz.pl" class="auth_mail
- 关键词：Rule-base evidential reasoning ; Atannasov&rsquo ; s intuitionistic fuzzy sets ; Dempster-Shafer theory ; Fuzzy logic ; Operational lows
- 刊名：Knowledge-Based Systems
- 出版年：May, 2014
- 年：2014
- 卷：61
- 期：Complete
- 页码：109-117
- 全文大小：733 K
文摘
A new approach to the rule-base evidential reasoning based on the synthesis of fuzzy logic, Atannasov鈥檚 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.