Prioritization of Strategies of Digital Transformation of Supply Chain Employing Bipolar Complex Fuzzy Linguistic Aggregation Operators

Abstract

Digitalization has addressed all parts of organizations together with supply chain management. Innovations like installed RFID, GPS, and sensors have assisted organizations with changing their current conventional supply chain framework into more spry, adaptable, open, and cooperative computerized models. A lot of organizations want to get the advantages of digitalization, particularly in the supply chain But here, the biggest problem, that the organizations are facing is the ambiguities, i.e. how to select and evaluate the best strategy for the supply chain digital transformation (SCDT), on which criteria or attribute they can assess the strategies of SCDT, etc. Multi-attribute decision-making (MADM) procedure is the finest technique to evaluate and find out the finest strategy of the SCDT. To handle these ambiguities and for making the MADM technique, this study first establishes the concept of bipolar complex fuzzy linguistic sets (BCFLSs) and its essential properties. Furthermore, we scrutinize average and geometric AOs for BCFLS such as bipolar complex fuzzy linguistic weighted averaging (BCFLWA) and bipolar complex fuzzy linguistic weighted geometric (BCFLWG) operators along with their idempotency, boundedness, and monotonicity properties. After that, to exhibit the usefulness of our established notion and AOs in real life and the selection and evaluation of the strategy of digital transformation of the supply chain, we interpret a DM technique and explore a numerical example. To exhibit the supremacy of the defined BCFLS and defined AOs we compare them with certain prevailing conceptions.INDEX TERMS Digital transformation of supply chain, bipolar complex fuzzy linguistic sets, aggregation operators.

Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

“…It is noted that the invented theory can't overcome with information that is in the model of BCF linguistic set [45], BCF soft set [46], picture FS [47], complex picture FS [48], complex bipolar FS [49], bipolar complex spherical FS [50] and other generalization of BCFS. Because of this limitation and the benefits of logarithmic AOs, there is a deliberate plan to use them in a wider range of frameworks, such as BCF linguistic set, BCF soft se, picture FS, bipolar complex spherical FS, etc.…”

A Systematic Analysis of EDAS Method and Power Aggregation Operators Based on Bipolar Complex Fuzzy Linguistic for Rural Energy Infrastructure Decision

“…Further, we explained the value of ≡ ǰ = ǰ=1 ǰ≠ϗ Sup ǰ , ϗ , where Sup ǰ , ϗ used support information depending on the distance measures with the following conditions: Sup ǰ , ϗ ∈ 0. , 1 Sup ǰ , ϗ = Sup ϗ , ǰ Sup ǰ , ϗ > Sup , , Dis ǰ , ϗ < Dis , Definition 2: [30] The mathematical shape of BCFLS is described below:…”

“…Comparative analysis is a major part of all manuscripts because, with the help of comparative analysis, we can easily evaluate the supremacy and validity of the proposed operators. In this manuscript, we used the following existing techniques for compassion, such as Mahmood et al [30] presented the aggregation operators based on BCFLSs and their applications. Further, Khan et al [35] evaluated the complex fuzzy rough aggregation operators and their application.…”

“…Best optimal Mahmood et al [30] 4 > 3 > 1 > 5 > 2 The most preferable and most valuable decision is 4 , represented the quantitative analysis, which is a major part of the meta-analysis, where the best optimal is obtained with the help of four types of proposed operators and the existing technique of Mahmood et al [30], which is the special case of the proposed operators. Further, we noticed that some existing techniques have failed, because of many limitations and problems, where up to date no one can derive any kind of operators based on BCFLSs accepted averaging and geometric operators which are the special cases of the proposed operators.…”

“…In 1975, Zadeh [23,24,25] initiated the linguistic term set (LTS), which is very flexible and very effective in coping with uncertain and vague information, where to analyze the temperature, we have the following possibilities, such as very low, low, normal, high, very high, and many others, called linguistic information, which played a valuable and dominant role in real-life problems. Furthermore, after the construction of the LTSs, many theories have been developed by different scholars, for instance, the linguistic approach based on FSs was presented by Tong and Bonissone [26], Martinez et al [27] derived the bipolar linguistic decision-making problems, the linguistic variables based on CFSs was presented by Alkouri and Salleh [28], Mahmood et al [29] derived the complex linguistic fuzzy sets, Mahmood et al [30] presented the bipolar complex fuzzy linguistic sets (BCFLSs) and their applications.…”