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Computing a fuzzy shortest path in a network with mixed fuzzy arc lengths using \(\alpha \)-cuts. (English) Zbl 1201.90196

Summary: We are concerned with the design of a model and an algorithm for computing a shortest path in a network having various types of fuzzy arc lengths. First, we develop a new technique for the addition of various fuzzy numbers in a path using \(\alpha \)-cuts by proposing a linear least squares model to obtain membership functions for the considered additions. Then, using a recently proposed distance function for comparison of fuzzy numbers, we present a dynamic programming method for finding a shortest path in the network. Examples are worked out to illustrate the applicability of the proposed model.

MSC:

90C35 Programming involving graphs or networks
05C82 Small world graphs, complex networks (graph-theoretic aspects)
90C70 Fuzzy and other nonstochastic uncertainty mathematical programming

Software:

Algorithm 97
Full Text: DOI

References:

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