An intuitionistic fuzzy entropy-based gained and lost dominance score decision-making method to select and assess sustainable supplier selection

IF 1.8 3区 数学 Q1 MATHEMATICS
Ibrahim M. Hezam, Pratibha Rani, A. Mishra, Ahmad M. Alshamrani
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引用次数: 6

Abstract

Sustainable supplier selection (SSS) is recognized as a prime aim in supply chain because of its impression on profitability, adorability, and agility of the organization. This work introduces a multi-phase intuitionistic fuzzy preference-based model with which decision experts are authorized to choose the suitable supplier using the sustainability "triple bottom line (TBL)" attributes. To solve this issue, an intuitionistic fuzzy gained and lost dominance score (IF-GLDS) approach is proposed using the developed IF-entropy. To make better use of experts' knowledge and fully represent the uncertain information, the evaluations of SSS are characterized in the form of intuitionistic fuzzy set (IFS). To better distinguish fuzziness of IFSs, new entropy for assessing criteria weights is proposed with the help of an improved score function. By considering the developed entropy and improved score function, a weight-determining process for considered criterion is presented. A case study concerning the iron and steel industry in India for assessing and ranking the SSS is taken to demonstrate the practicability of the developed model. The efficacy of the developed model is certified with the comparison by diverse extant models.
基于直觉模糊熵的得失优势评分决策方法对可持续供应商选择进行了选择和评价
可持续供应商选择(SSS)被认为是供应链的主要目标,因为它对组织的盈利能力、可爱性和敏捷性有影响。本文引入了一种基于多阶段直觉模糊偏好的模型,该模型授权决策专家使用可持续性“三重底线”属性选择合适的供应商。为了解决这一问题,提出了一种直觉模糊得失优势分数(IF-GLDS)方法。为了更好地利用专家知识,充分表示不确定信息,将SSS的评价用直觉模糊集(IFS)的形式进行表征。为了更好地区分ifs的模糊性,利用改进的评分函数,提出了评价指标权重的新熵。结合改进后的熵值和分数函数,给出了一种权重确定方法。以印度钢铁行业为例,对SSS进行评价和排名,验证了该模型的实用性。通过与现有模型的比较,验证了所建立模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AIMS Mathematics
AIMS Mathematics Mathematics-General Mathematics
CiteScore
3.40
自引率
13.60%
发文量
769
审稿时长
90 days
期刊介绍: AIMS Mathematics is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in all fields of mathematics. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports.
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