A New Fuzzy System Approach Based on Z-Number to Solve MADM Problems
نویسندگان
1 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
2 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
3 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
4 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
doi
چکیده
Fuzzy rule-based systems have been applied as a powerful approach to deal with uncertainty in multi-attribute decision-making (MADM) problems. However, according to experts’ opinions and decision making rules, most studies utilizing fuzzy rule-based systems do not involve reliability. Indeed, considering the reliability of information makes decisions more accurate. To do so, the concept of Z-number as a key role to obtain more precise decisions is applied as an efficient approach in the decision-making process in the description of real-world information. This paper proposes an approach to design a fuzzy rule-based system under Z-number for solving multi-attribute group decision-making (MAGDM) problems. As a case-based problem, a stock selection problem on a research is investigated as a factor in financial portion. Validity and verifying of the proposed approach is demonstrated with importing the data of a numerical example of a research and comparative analysis for the problem at hand.