Analysis of a Non-Discriminating Criterion in Simple Additive Weighting Deep Hierarchy

Ozan Çakır, İbrahim Gürler () and Bora Gündüzyeli
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Ozan Çakır: Department of Management Information Systems, İstanbul Topkapı University, İstanbul 34020, Turkey
İbrahim Gürler: Department of International Trade and Business, İstanbul Topkapı University, İstanbul 34020, Turkey
Bora Gündüzyeli: Department of Management Information Systems, İstanbul Topkapı University, İstanbul 34020, Turkey

Mathematics, 2022, vol. 10, issue 17, 1-22

Abstract: In the current account, we present an analysis of a non-discriminating criterion under simple additive weighting synthesis, considering a deep decision hierarchy. A non-discriminating criterion describes a criterion where all decision alternatives under consideration perform equally. We question eliminating such a criterion from the decision hierarchy in search of simpler problem representation and computational efficiency. Yet, we prove such an approach may result in order misrepresentations between decision alternatives. This analysis is performed in the form of four research questions that relate to the detection of certain conditions under which such distortions in the order integrity of decision alternatives will occur, calculating the change in their final performances, distinguishing the alternatives whose performances are consistent, and examining the role of the normalization procedure adopted in averting such distortions when the non-discriminating criterion is ignored. Along these lines, this study provides clear inferences which are of interest to researchers and decision makers, using simple additive weighting and similar methods that rely on additive synthesis.

Keywords: multiple-criteria decision making; simple additive weighting; non-discriminating criterion; normalization; rank-order; rank reversal; independence axiom; decision hierarchy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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