2005
DOI: 10.1016/j.camwa.2004.08.011
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The shortest path problem with discrete fuzzy arc lengths

Abstract: In the past, the fuzzy shortest path problem in a network has attracted attention from many researchers for its importance to various applications. In this paper, we propose a new algorithm to deal with the fuzzy shortest path problem. It is composed of fuzzy shortest path length procedure and similarity measure. The former is presented to determine the fuzzy shortest path length from source node to the destination node in the network, and the latter is used to measure the similarity degree between fuzzy lengt… Show more

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Cited by 14 publications
(9 citation statements)
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References 15 publications
(16 reference statements)
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“…(iii) Put = 1, 2, 3, = 4; (iv) Put = 1, 2, 3, 4, = 5; (6,7,8,9) ⊕ (4,7,6,8), (8,10,4,12) ⊕ (3, 6, 7, 8)}; 5 = min{ (10,14,14,17), (11,16,11,20)}; 5 = (10, 14, 14, 17) and 5 = min{ 1 ⊕ 15 , 2 ⊕ 25 , 3 ⊕ 35 , 4 ⊕ 45 }; 5 = min{ (7,8,9,10)⊕ (6,8,7,9), (11,13,8,17)(5,8,9,12) (13,16,16,19), (16,21,17,29)}; 5 = (13, 16, 16, 19) ∴ 2 = 2 → 5.…”
Section: Then Findmentioning
confidence: 99%
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“…(iii) Put = 1, 2, 3, = 4; (iv) Put = 1, 2, 3, 4, = 5; (6,7,8,9) ⊕ (4,7,6,8), (8,10,4,12) ⊕ (3, 6, 7, 8)}; 5 = min{ (10,14,14,17), (11,16,11,20)}; 5 = (10, 14, 14, 17) and 5 = min{ 1 ⊕ 15 , 2 ⊕ 25 , 3 ⊕ 35 , 4 ⊕ 45 }; 5 = min{ (7,8,9,10)⊕ (6,8,7,9), (11,13,8,17)(5,8,9,12) (13,16,16,19), (16,21,17,29)}; 5 = (13, 16, 16, 19) ∴ 2 = 2 → 5.…”
Section: Then Findmentioning
confidence: 99%
“…(v) Put = 1, 2, 3, 4, 5, = 6; (8,10,4,12)(2,3,5,6), (10,14,14,17) ⊕ (5, 10, 11, 12)}; 6 = min{ (10,13,9,18), (15,24,25,29)}; 6 = (10, 13,9,18) Steps 4, 5, and 6. Table 1 shows the results of membership and nonmembership functions, direct/indirect link with source node, and direct/indirect link with destination node from Steps 2 and 3.…”
Section: Then Findmentioning
confidence: 99%
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“…This is a method for modeling the type of of instability associated with ambiguity. In this paper is used proposed in [5] modification of Dijkstra's algorithm, as permanent marks of each vertex (the shortest distance from vertex source) also fuzzy numbers. Despite the intensive development of the theory of fuzzy sets.…”
Section: Methodsmentioning
confidence: 99%
“…Despite the intensive development of the theory of fuzzy sets. There is no single formula formulation of the problem [13], [5], [11], [6], due to various assumptions, aims and forms of fuzzy numbers. In this paper an approach is used for finding the shortest path from s to all other nodes of the graph, similar to that in [13].…”
Section: Methodsmentioning
confidence: 99%