When dealing with the haziness that is intrinsic in decision analysis-driven making procedures, interval-valued intuitionistic fuzzy sets (IVIFSs) can be quite effective. Our approach to solving multiple attribute (MADM) difficulties, where all of evidence provided by decision-makers demonstrated as (IVIF) matrices, which components are distinguished an IVIF number (IVIFN), based on Aczel–Alsin...

During recent years, determining appropriate strategy in the supply chain has become an important strategic issue. However, the nature of these decisions usually is complex and unstructured. To determine the best supply chain strategy, many quantitative and qualitative attributes such as cost, responsiveness and flexibility can be taken into account. In order to approximate the human subjective...

A fusion system sometimes requires the capability to represent the temporal changes of uncertain sensory information in dynamic and uncertain situation. A Bayesian Network can construct a coherent fusion structure with the hypothesis node which cannot be observed directly and sensors through a number of intermediate nodes that are interrelated by cause and effect. In some BN applications for ob...

Abstract The task of benchmarking smart e-tourism applications based on multiple key concept attributes is considered a multi-attribute decision-making (MADM) problem. Although the literature review has evaluated and benchmarked these applications, data ambiguity vagueness continue to be unresolved issues. robustness fuzzy decision by opinion score method (FDOSM) weighted with zero inconsistenc...

This study aims to develop a Multi-Attribute Decision-Making (MADM) method, the Best-Worst Tradeoff which draws on underlying principles of two popular MADM methods (the Method (BWM) and Tradeoff). The traditional procedure, is based axiomatic foundation multi-attribute value theory, considers ranges attributes, but decision-makers/analysts find it hard check consistency paired comparisons when...

Realising information technology (IT) decisions and implementations are consistently seen as major challenges of business management faced with increasingly complex IT environments. This article seeks to increase the awareness of the multiple attributive decision making methodology (MADM) in the context of enterprise resource planning (ERP) projects and provides empirical insights based on 209 ...

– Normalization procedures are required in multiattribute decision making (MADM) to transform performance ratings with different data measurement units in a decision matrix into a compatible unit. MADM methods generally use one particular normalization procedure without considering the suitability of other available procedures. This study compares four commonly known normalization procedures in...

The technique for order preference by similarity to ideal solution (TOPSIS) is a well-known multi-attribute decision making (MADM) method that is used to identify the most attractive alternative solution among a finite set of alternatives based on the simultaneous minimization of the distance from an ideal solution (IS) and the maximization of the distance from the nadir solution (NS). We propo...

The ongoing research in the field of decision-making can be analyzed from different perspectives. Research trends indicate that multi-attribute (MADM) methods have a significant impact on engineering and management scientific areas. Since many problems existing mentioned areas are associated with certain level uncertainty, type 2 fuzzy sets represent common solution for enhancement conventional...