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Author:

Li, P. (Li, P..)

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Scopus SCIE

Abstract:

Modelling with fuzzy relations in approximate reasoning is obstructed sometimes by the inconsistency of obtained fuzzy relational equations. This paper tackles the inconsistency resolving problem for a finite system of max–min equations by modifying only the right-hand side vector as slightly as possible with respect to the sum of absolute deviations. It is demonstrated that this problem may be reformulated equivalently as a polynomial-sized mixed integer linear programming problem. Although such a reformulation results in a problem of much larger size than its original compact form, it may be solved to optimality on instances of moderate size or even large size by an off-the-shelf solver for mixed integer linear programming and in some sense does not require a tailored solving method. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

Fuzzy relational equations mixed integer linear programming inconsistency

Author Community:

  • [ 1 ] [Li P.]College of Economics and Management, Beijing University of Technology, Beijing, China

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Source :

International Journal of General Systems

ISSN: 0308-1079

Year: 2024

2 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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