Uzmanlık katsayılarının belirlenmesinde kullanılan farklı yaklaşımların geliştirilmiş bulanık analitik hiyerarşi süreci metodu üzerindeki etkilerinin analizi

Abstract

Prioritization concept of expert opinions  Improved fuzzy analytical hierarchy process method  Moderator's assignments on the decision matrix Data for decision science are derived from several sources such as reports, databases, etc. Multicriteria decision making methods mostly depend on expert consultations. However, it is increasingly argued that using survey responses create nonconfidence, unreliability and doubtfulness. In this study, we point this problem by discussing the prioritization concept of expert opinions. Different approaches are applied on improved fuzzy analytical hierarchy process method, and results are compared. Figure A. Different rankings after applying different approaches for expertise coefficients Purpose: The purpose of this study is to indicate the effects of four different approaches to the prioritization concept of expert opinions. Theory and Methods: In this study, improved fuzzy analytical hierarchy process method as a decision making tool is preferred. Four different approaches are applied to analyze the observations. Results: We show that all data relevant to expertise of decision makers in decision making can be transferred to the decision-making methods. We prove that expert coefficients and the moderator's assignments on the decision matrix affect and change the results in a huge amount. Conclusion: The concept of expert prioritization should be considered by the researchers in the field of decision science comprehensively. New methods can be generated, and comparison studies are to be conducted.

Türkiye'deki Olası Lojistik Üs Yerlerinin Seçilmesi İçin Karşılaştırmalı Bir Analiz

“…AHP is a mathematical method that computes variables in the format of crisp or linguistic values by several pairwise comparisons of an individual or a group judgment [27]. In this way, more effective ways can be provided to find solutions for these decision problems [28][29][30]. The AHP allows modeling in a hierarchical structure that shows the relationship between decision makers' complex problems, the main objective of the problem, criteria, sub-criteria and alternatives [31].…”