Inference mechanism based on ordered fuzzy rules

被引：2

作者：

Rudnik, Katarzyna ^{[1
]}

Chwastyk, Anna ^{[1
]}

机构：

[1] Opole Univ Technol, Fac Prod Engn & Logist, Opole, Poland

来源：

2023 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ | 2023年

关键词：

ordered fuzzy number; ordered fuzzy rules; uncertainty modeling; fuzzy inference; fuzzy reasoning; supplier assessment;

D O I：

10.1109/FUZZ52849.2023.10309682

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper develops the concept of an inference method for IF-THEN rules with Ordered Fuzzy Numbers (OFNs), called ordered fuzzy rules. These rules allow one to present knowledge in the understandable form of fuzzy rules, which contains additional information about the tendencies of variables' value changes in time. This paper elaborates on an approach to the inference process that is sensitive to the direction of triangular OFNs. This research is the foundation of the creation of a new tool for decision-making in an uncertain environment in the context of rapidly changing data. In the paper, the approach is described based on the example of a managerial problem in the field of supplier evaluation.

引用

页数：6

共 25 条

[21]

Wilson E.L., 1994, International Journal of Purchasing and Materials Management, V30, P35, DOI [10.1111/j.1745-493X.1994.tb00195.x, DOI 10.1111/J.1745-493X.1994.TB00195.X]

[22] FUZZY SETS [J].

ZADEH, LA .

INFORMATION AND CONTROL, 1965, 8 (03) :338-&

[23]

Zarzycki Hubert, 2021, Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. Selected Papers from BOS-2018, held on September 24-26, 2018, and IWIFSGN-2018, held on September 27-28, 2018 in Warsaw, Poland. Advances in Intelligent Systems and Computing (AISC 1081), P363, DOI 10.1007/978-3-030-47024-1_34

[24]

Zarzycki H, 2019, Advances and New Developments in Fuzzy Logic and Technology. IWIFSGN 2019. Advances in Intelligent Systems and Computing, V1308, DOI [10.1007/978-3-030-77716-6_25, DOI 10.1007/978-3-030-77716-6_25]

[25]

Zarzycki H, 2017, STUD FUZZ SOFT COMP, V356, P195, DOI 10.1007/978-3-319-59614-3_11

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