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I. Mahdavi, R. Nourifar, A. Heidarzade, and N. Mahdavi- Amiri, “A dynamic programming approach for finding shortest chains in a fuzzy network,” Applied Soft Computing, Vol. 9, No. 2, pp. 503–511, 2009.

has been cited by the following article:

• TITLE: A Novel Approach for Finding a Shortest Path in a Mixed Fuzzy Network

  AUTHORS: Ali Tajdin, Iraj Mahdavi, Nezam Mahdavi-Amiri, Bahram Sadeghpour-Gildeh, Reza Hassanzadeh

  KEYWORDS: Fuzzy Numbers, -Cut; Shortest Path, Dynamic Programming

  JOURNAL NAME: Wireless Sensor Network, Vol.2 No.2, March 15, 2010

  ABSTRACT: We present a novel approach for computing a shortest path in a mixed fuzzy network, network having various fuzzy arc lengths. First, we develop a new technique for the addition of various fuzzy numbers in a path using -cuts. Then, we present a dynamic programming method for finding a shortest path in the network. For this, we apply a recently proposed distance function for comparison of fuzzy numbers. Four examples are worked out to illustrate the applicability of the proposed approach as compared to two other methods in the literature as well as demonstrate the novel feature offered by our algorithm to find a fuzzy shortest path in mixed fuzzy networks with various settings for the fuzzy arc lengths.