Interval-Valued Intuitionistic Fuzzy Decision-Making Method using Index Matrices and Application in Outsourcing

Abstract

Selecting a suitable outsourcing service provider is a challenging problem that requires discussion among a group of experts. The problems of this type belongs to the area of multicriteria decision-making. Interval-valued intuitionistic fuzzy sets, which are an extension of intuitionistic fuzzy sets, are a capable tool in modeling uncertain problems. In this paper we will formulate an optimal interval-valued intuitionistic fuzzy multicriteria decision-making problem in outsourcing and propose a new approach for the selection of the most appropriate candidates; as well as a software program for its automated solution, based on our previous libraries. As an example of a case study, an application of the algorithm on real data from a refinery is demonstrated.

Similarity based TOPSIS with linguistic-quantifier based aggregation using OWA

“…This opens doors for the reflection of the risk-preference of the decision-maker and for more detailed specification of the requirements on a 'alternative similar to PIS' and an 'alternative similar to NIS' by the decision-maker. 1 In original method normalization is done as…”

“…T HE name TOPSIS is shortening from the Technique for Order Preference by Similarity to Ideal Solution. This tool belongs to multi-criteria decision making methods which are of increasing importance [1], [2]. TOPSIS is based on the idea of forming two ideal solutions (best possible case called the (positive) ideal solution and denoted PIS and worst possible case called the negative ideal solution and denoted NIS), both relative to the set of available alternatives, and comparing the current alternative to these two.…”

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

“…Some of these shortcomings can be overcome by generalizing the semantic differential into an interval-valued method as proposed by Stoklasa et al [54]. The interval-valued methods are being applied in other areas as well [33].…”

“…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.…”

Feature Selection and Ranking Method based on Intuitionistic Fuzzy Matrix and Rough Sets

“…So, preference relations are effective techniques to gather the overviews of a group of decision makers. Recently, many researchers have developed many methods of preference relations [2], [3], [4], [5], [6] [7]. To solve decision-making problems with uncertain information or not precise judgments, preference relations with Zadeh's fuzzy sets are proposed.…”