JOURNAL ARTICLE

Weighted fuzzy interpolative reasoning based on interval type-2 fuzzy sets

Abstract

In this paper, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based system based on interval type-2 fuzzy sets. Based on the ranking values of interval type-2 fuzzy sets, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. We also use an example to illustrate the proposed weighted fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. The proposed method provides us a useful way to deal with weighted fuzzy interpolative reasoning based on the ranking values of interval type-2 fuzzy sets.

Keywords:
Fuzzy set operations Fuzzy classification Defuzzification Mathematics Fuzzy number Type-2 fuzzy sets and systems Fuzzy logic Fuzzy set Artificial intelligence Fuzzy rule Ranking (information retrieval) Neuro-fuzzy Interval (graph theory) Data mining Pattern recognition (psychology) Fuzzy control system Computer science Combinatorics

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2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
12
Refs
0.11
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Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Multi-Criteria Decision Making
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Fuzzy Systems and Optimization
Physical Sciences →  Mathematics →  Statistics and Probability

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