Fuzzy Dynamic Programming to Determine the Shortest Route Problem
Main Article Content
Abstract
The purpose of this paper is to develop a new paradigm for a fuzzy dynamic programming for solving the shortest route problem. Dynamic programming is a mathematical technique used for obtaining the solution for a sequence of interrelated decisions. In real life, situations are not crisp enough moreover, they are fuzzy in nature. Therefore, in order to deal with the real situations a new method is being proposed here to find the more realistic answers to the dynamic problems. For this purpose the MATLAB software is used where the decision parameters are trapezoidal fuzzy numbers.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
