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The new extension of the MULTIMOORA method for sustainable supplier selection with intuitionistic linguistic rough numbers
Applied Soft Computing ( IF 8.7 ) Pub Date : 2020-11-07 , DOI: 10.1016/j.asoc.2020.106893
Peide Liu , Hui Gao , Hamido Fujita

Due to the increasing awareness of environmental and social issues, sustainable supplier selection (SSS) becomes an important problem. In order to scientifically evaluation the SSS, the aim of this paper is to develop a novel SSS method considering the robustness and relationship among experts. Firstly, a novel concept of intuitionistic linguistic rough numbers (ILRNs) is proposed to accurately express the opinions of expert groups for SSS and to consider the interactive relationship among experts. Then we present a process to construct ILRNs and introduce the arithmetic operations, distance measure, correlation measure, ranking rules, aggregation operators, and some corresponding properties. In addition, based on the correlation coefficients between attributes, we introduce a weight determining method. Moreover, considering the robustness of the ranking method, the multiplicative Multi-objective Optimization by Ratio Analysis (MULTIMOORA) is enhanced by developing a new aggregated model and the improved Borda rule, which can consider both the subordinate utility values and ranks, and an intuitionistic linguistic MULTIMOORA method and an intuitionistic linguistic rough MULTIMOORA method are developed respectively. Finally, a real case of a shared power bank SSS is conducted to illustrate the application of the proposed method, and a comparison is performed to explain the superiority and feasibility of the proposed method.



中文翻译:

MULTIMOORA方法的新扩展,用于使用直观语言粗略数进行可持续的供应商选择

由于对环境和社会问题的认识不断提高,可持续供应商选择(SSS)成为一个重要问题。为了科学评估SSS,本文的目的是考虑到专家之间的鲁棒性和关系,开发一种新颖的SSS方法。首先,提出了一种直观的语言粗糙数(ILRNs)的新概念,以准确表达SSS专家组的观点并考虑专家之间的互动关系。然后,我们提出了一个构建ILRN的过程,并介绍了算术运算,距离度量,相关度量,排名规则,聚合算子以及一些相应的属性。另外,根据属性之间的相关系数,介绍了权重确定方法。此外,考虑到排序方法的鲁棒性,通过开发新的汇总模型和改进的Borda规则(可以同时考虑从属效用值和等级)以及直觉语言学MULTIMOORA,增强了基于比率分析的乘法多目标优化(MULTIMOORA)分别开发了一种直观的语言方法和粗糙的MULTIMOORA方法。最后,以共享电源银行SSS的实际情况为例,说明了该方法的应用,并进行了比较,以说明该方法的优越性和可行性。分别开发了直觉语言的MULTIMOORA方法和直觉语言的粗MULTIMOORA方法。最后,以共享电源银行SSS的实际情况为例,说明了该方法的应用,并进行了比较,以说明该方法的优越性和可行性。分别开发了直觉语言的MULTIMOORA方法和直觉语言的粗MULTIMOORA方法。最后,以共享电源银行SSS的实际情况为例,说明了该方法的应用,并进行了比较,以说明该方法的优越性和可行性。

更新日期:2020-11-09
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