An Extended Intuitionistic Fuzzy Multi-Attributive Border Approximation Area Comparison Approach for Smartphone Selection Using Discrimination Measures

Abstract

The objective of the paper is to introduce a novel approach using the multi-attribute border approximation area comparison (MABAC) approach under intuitionistic fuzzy sets (IFSs) to solve the smartphone selection problem with incomplete weights or completely unknown weights. A novel discrimination measure of IFSs is proposed to calculate criteria weights. In view of the fact that the ambiguity is an unavoidable feature of multiple-criteria decision-making (MCDM) problems, the proposed approach is an innovative process in the decision-making under uncertain settings. To express the utility and strength of the developed approach for solving problems in the area of MCDM, a smartphone selection problem is demonstrated. To validate the IF-MABAC approach, a comparative discussion is made between the outcomes of the developed and those of the existing methods. The outcomes of analysis demonstrate that the introduced method is well-ordered and effective with the existing ones.

Methodical Aspects of MCDM Based E-Commerce Recommender System

“…Mishra et al, in 2021, applied an innovative procedure employing the multi-attribute boundary approximation area comparison (MABAC) to solve the smartphone selection problem [12]. MABAC has an easy computational process, organized procedure, and an innovative direction that determines the foundation of real-world decision-making problems.…”

“…In Reference [69], only five alternatives of mobile phones were evaluated. Many works dedicated to evaluating mobile phones using MCDM have used only one method [6,10,12,13,71,72]. In Reference [5], 10 alternatives were evaluated with four criteria.…”

“…The MABAC method was worked out just as in MAIRCA by the research center at the University of Defence in Belgrade. Pamučar and Cirović first implemented this approach in 2015 [12,107]. It determines the distance measures between each possible alternative and the boundary approximation area (BAA) [108].…”

“…Hence, the multi-criteria decision-making strategy looks very useful in mobile phone selection. Priority, mobile phone selection criteria, include elements [7,[11][12][13][14], such as quantitative criteria:…”

An Intelligent Information Management System for Retinal Image Storage and Recognition in Chronic Disease using Digital Signal and Image Processing

“…In order to solve the problem of registration of retinal images with different Angle of view of the retinal camera, Zou Beji et al proposed a local feature registration method with affine invariability [11]. Then the anisotropic image structure is transformed into isotropic image structure with different angle factors by rotation, sampling and compression [12].…”