Pythagorean Fuzzy Analytical Network Process (ANP) and Its Application to Warehouse Location Selection Problem

Abstract

Although new techniques are added to multicriteria decision-making (MCDM) techniques every day, fuzzy applications of current and proven methods also take a large place in the literature. The main subject of this study is to propose an extension of Pythagorean fuzzy sets (PFS), which are useful to overcome the uncertainty in multi-criteria decision processes, to the well-known Analytical Network Process (ANP) technique. For this purpose, an empirical application of the proposed method was carried out in defining criteria weights of the warehouse location selection problem in the medical sector.

Interval-valued semantic differential in multiple criteria and multi-expert evaluation context: possible benefits and application areas

“…We have specific methods based on pairwise comparisons (see e.g. [20], [21], [22]), methods utilizing ideals in the evaluation process [23], [24], special methods for ordinal data [25], [26], [27], methods equipped to deal with different types of uncertainty [28], [29], [30], [31], [32], [33], [34], methods capable of dealing with linguistic inputs/outputs and to process natural language [35], [36], [37], [38], methods for consensus modeling and analysis [39], [40], [27], [41]. The list is definitely not complete, nor is it reasonably structured.…”