Fuzzy shortest path problems incorporating interactivity among paths
β Scribed by Shinkoh Okada
- Book ID
- 104291666
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 830 KB
- Volume
- 142
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper deals with a shortest path problem on a network in which a fuzzy number, instead of a real number, is assigned to each arc length. Such a problem is "ill-posed" because each arc cannot be identiΓΏed as being either on the shortest path or not. Therefore, based on the possibility theory, we introduce the concept of "degree of possibility" that an arc is on the shortest path. Every pair of distinct paths from the source node to any other node is implicitly assumed to be noninteractive in the conventional approaches. This assumption is unrealistic and involve inconsistencies. To overcome this drawback, we deΓΏne a new comparison index between the sum of fuzzy numbers by considering interactivity among fuzzy numbers. An algorithm is presented to determine the degree of possibility for each arc on a network. Finally, this algorithm is evaluated by means of large-scale numerical examples. Consequently, we can ΓΏnd this approach is e cient even for real world practical networks.
π SIMILAR VOLUMES
The task of finding shortest paths in weighted graphs is one of the archetypical problems encountered in the domain of combinatorial optimization and has been studied intensively over the past five decades. More recently, fuzzy weighted graphs, along with generalizations of algorithms for finding op