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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 원광대학교 기초자연과학연구소 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.27 No.3
- 발행연도
- 2024.6
- 수록면
- 257 - 284 (28page)
- DOI
- 10.30948/afmi.2024.27.3.257
이용수
초록· 키워드
오류제보하기
Interval type-2 fuzzy linear programming models, which are extensions of type-2 fuzzy linear programming models, have been extensively considered and used in recent years, and numerous studies have been conducted to solve this type of problem. However, so far, not many studies have been conducted on the fuzzy linear programming problem with vagueness in the parameters with interval type-2 membership functions, and this is a necessity for conducting this research. In these types of problems, the input data are modeled using fuzzy preference-based membership functions. This study investigates interval type-2 fuzzy linear programming problems with vagueness parameters. In addition, we present the membership functions associated with each model and propose new modeling techniques. Depending on the position of vagueness in the problem, such as vagueness in the objective function vector, technological coefficients, resources vector, and any possible combination of them, various problems arise. Therefore, we introduce these types of problems, provide membership functions, and propose different solution methods. We evaluate the efficiency and performance of each of the proposed methods using an example.
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