Note on “Optimal path selection approach for fuzzy reliable shortest path problem”

Author:

Kumar Ranjan12,Edalatpanah SA3,Mohapatra Hitesh4

Affiliation:

1. Department of Master of Computer Applications, Jain Deemed to be University, Bengaluru, Karnataka, India

2. Department of Mathematics, National Institute of Technology Jamshedpur, India

3. Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran

4. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India

Abstract

There are different conditions where SPP play a vital role. However, there are various conditions, where we have to face with uncertain parameters such as variation of cost, time and so on. So to remove this uncertainty, Yang et al. [1] “[Journal of Intelligent & Fuzzy Systems, 32(1), 197-205”] have proposed the fuzzy reliable shortest path problem under mixed fuzzy environment and claimed that it is better to use their proposed method as compared to the existing method i.e., “[Hassanzadeh et al.; A genetic algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths, Mathematical and Computer Modeling, 57(2013) 84-99” [2]]. The aim of this note is, to highlight the shortcoming that is carried out in Yang et al. [1] article. They have used some mathematical incorrect assumptions under the mixed fuzzy domain, which is not true in a fuzzy environment.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference12 articles.

1. Optimal path selection approach for fuzzy reliable shortest path problem;Yang;Journal of Intelligent and Fuzzy Systems,2017

2. A genetic algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths;Hassanzadeh;Mathematical and Computer Modelling,2013

3. Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment;Deng;Applied Soft Computing,2012

4. New models for shortest path problem with fuzzy arc lengths;Ji;Applied Mathematical Modelling,2007

5. A new dynamic programming approach for finding the shortest path length and the corresponding shortest path in a discrete fuzzy network;Kung;Journal of Intelligent & Fuzzy Systems,2007

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