New cross entropy on Dempster-Shafer theory under uncertainty

Authors

  • Fereshteh Khalaj Islamic Azad University
  • Einollah Pasha Faculty of Mathematical Sciences and Computer
  • Reza Tavakkoli-Moghaddam University of Tehran LCFC, Arts et Métier Paris Tech, Centre de Metz, France
  • Mehran Khalaj Robat Karim Branch, Islamic Azad University

DOI:

https://doi.org/10.30495/jme.v13i0.758

Keywords:

Dempster-Shafer theory, Belief function, Cross entropy, Multi-criteria decision-making, Uncertainty.

Abstract

This paper introduces a new generalized denition of cross-entropy for nding the solution of a multi-criteria decision-making (MC-DM) problem. A new interpretation of a belief function in DempsterShafer theory, namely belief function theory, under uncertainty is presented, which is affected in the decision-making process. Belief functions are determined as three elements (i.e., belief degree, uncertainty degree and disbelief degree). Then, a belief measure between an alternative and ideal alternative is calculated by cross entropy to rank alternatives and select the most desirable one. Finally, the efficiency of the proposed CDM method is demonstrated by solving a numerical example.

Author Biographies

Fereshteh Khalaj, Islamic Azad University

Department of Statistics, Science and Research Branch

Einollah Pasha, Faculty of Mathematical Sciences and Computer

Department of Mathematics

Reza Tavakkoli-Moghaddam, University of Tehran LCFC, Arts et Métier Paris Tech, Centre de Metz, France

School of Industrial Engineering, College of Engineering

Mehran Khalaj, Robat Karim Branch, Islamic Azad University

Department of Industrial Engineering

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Published

2019-01-08

Issue

Section

Vol. 13, No. 1, (2019)