A COMBINED AHP-ENTROPY METHOD FOR DERIVING SUBJECTIVE AND OBJECTIVE CRITERIA WEIGHTS

Authors

  • Raid Al-Aomar Department of Industrial Engineering Jordan University of Science and Technology

DOI:

https://doi.org/10.23055/ijietap.2010.17.1.330

Keywords:

Criteria Weights, Entropy, Analytical Hierarchy Process, Decision Support Systems

Abstract

This paper investigates the problem of deriving subjective and objective criteria weights, by combining the AHP and Shannon's entropy method. The paper outlines the challenge of making preferential judgments based on non-homogeneous decision data and variant decision knowledge. Such decision complexity often leads to inaccurate assessment of criteria weights, and consequently reducing the credibility of decisions. The combined AHP-entropy method conforms to the type of decision data (qualitative or quantitative; deterministic or probabilistic) and to the degree of decision knowledge (none, partial, or full preferential judgments). An easy-to-apply spreadsheet-based application program of the unified AHP-entropy method is developed for deriving criteria weights, synthesizing decision elements, and ranking decision alternatives. A numerical example is used to clarify the method’s application.

Author Biography

Raid Al-Aomar, Department of Industrial Engineering Jordan University of Science and Technology

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Published

2022-03-14

How to Cite

Al-Aomar, R. (2022). A COMBINED AHP-ENTROPY METHOD FOR DERIVING SUBJECTIVE AND OBJECTIVE CRITERIA WEIGHTS. International Journal of Industrial Engineering: Theory, Applications and Practice, 17(1). https://doi.org/10.23055/ijietap.2010.17.1.330

Issue

Section

Operation Research