Modified intuitionistic fuzzy SIR approach with an application to supplier selection

Gupta, Pankaj; Mehlawat, Mukesh Kumar; Grover, Nishtha; Chen, Wei

doi:10.3233/jifs-169209

Cited by 21 publications

(7 citation statements)

References 16 publications

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“…Gan and Luo [17] used a hybrid method with the decision-making trial and evaluation laboratory (DEMA-TEL) and IFSs. Gupta, Mehlawat, Grover, and Chen [18] defined the superiority and inferiority ranking (SIR) method under IFSs. Hao, Xu, Zhao, and Zhang [19] defined the intuitionistic fuzzy method through the decision field.…”

Section: Literature Reviewmentioning

confidence: 99%

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

2021

Journal of Mathematics

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Intelligent transportation system (ITS) is the development direction of the future traffic system. ITS can effectively employ the existing traffic facilities and ensure the safety of traffic, urban traffic, and public security management for effective control in order to satisfy people’s travel demand. Therefore, the results of the system in-depth understanding and objective evaluation are very necessary. And it is frequently regarded as a multiattribute group decision-making (MAGDM) issue. Thus, a novel MAGDM method is required to tackle it. Depending on the conventional multiattributive border approximation area comparison (MABAC) method and intuitionistic fuzzy sets (IFSs), this article designs a novel intuitive distance-based IF-MABAC method to assess the performance of financial management. First of all, a related literature review is conducted. Furthermore, some necessary theories related to IFSs are briefly reviewed. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria are decided objectively by utilizing the maximizing deviation method. Afterwards, relying on novel distance measures between intuitionistic fuzzy numbers (IFNs), the conventional MABAC method is extended to the IFSs to calculate the final value of each enterprise. Therefore, all enterprises can be ranked, and the one with the best environmental behaviors and awareness can be identified. Eventually, an application for evaluating the intelligent transportation system and some comparative analyses have been given. The results illustrate that the designed algorithm is useful for assessing the performance of financial management.

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Section: Literature Reviewmentioning

confidence: 99%

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

2021

Journal of Mathematics

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“…Krishankumar et al [30] integrated AHP under IFSs to design a GDM model. Gupta et al [31] modified the SIR method under IFSs. Bao et al [32] defined prospect theory and evidential reasoning algorithms under the IFSs.…”

Section: Introductionmentioning

confidence: 99%

GRA and CRITIC Method for Intuitionistic Fuzzy Multiattribute Group Decision Making and Application to Development Potentiality Evaluation of Cultural and Creative Garden

2021

Mathematical Problems in Engineering

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In recent years, cultural and creative industry park is becoming a kind of hot industry to promote industrial restructuring and to improve the quality of urban space. For this reason, cultural and creative industrial parks are planning to build across the country. Currently, cultural and creative industrial parks that develop better than others thank to the government’s overall planning, construction, marketing, and management. At the same time, the new cultural and creative industry parks face enormous challenges, such as how to have together the cultural and creative industries and related groups or how to have area cultural creativity. And it is frequently regarded as a multiattribute group decision-making (MAGDM) process. Thus, a novel MAGDM process is needed to tackle it. Depending on the conventional grey relational analysis (GRA) method and intuitionistic fuzzy sets (IFSs), this paper designs a novel intuitive distance-based IF-GRA method for development potentiality evaluation of cultural and creative garden. First of all, some necessary theories related to IFSs are briefly reviewed. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria are decided objectively by utilizing the CRITIC method. Afterwards, relying on novel distance measures between IFSs, the GRA method is extended to the IFSs to calculate assessment score of each alternative. Eventually, an application about development potentiality evaluation of cultural and creative garden and some comparative analysis is given. The results think that the designed method is useful for development potentiality evaluation of cultural and creative garden.

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“…Chen et al [12] developed a novel MCDM (Multiple Criteria Decision Making) method on the basis of the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method and similarity measures in the context of intuitionistic fuzzy. Gupta et al [13] modified the superiority and inferiority ranking (SIR) method and combined it under IFSs. Lu and Wei [14] designed the TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) method for performance appraisal on social-integration-based rural reconstruction under IVIFSs (Interval-valued Intuitionistic Fuzzy Numbers).…”

Section: Introductionmentioning

confidence: 99%

An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects

Liang

2020

Symmetry

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Multiple attribute group decision-making (MAGDM) methods have a significant influence on decision-making in a variety of strategic fields, including science, business and real-life studies. The problem of evaluation in green building energy-saving design projects could be regarded as a type of MAGDM problem. The evaluation based on distance from average solution (EDAS) method is one of the MAGDM methods, which simplifies the traditional decision-making process. Symmetry among some attributes that are known and unknown as well as between pure attribute sets and fuzzy attribute membership sets can be an effective way to solve MAGDM problems. In this paper, the classical EDAS method is extended to intuitionistic fuzzy environments to solve some MAGDM issues. First, some concepts of intuitionistic fuzzy sets (IFSs) are briefly reviewed. Then, by integrating the EDAS method with IFSs, we establish an IF-EDAS method to solve the MAGDM issues and present all calculating procedures in detail. Finally, we provide an empirical application for evaluating green building energy-saving design projects to demonstrate this novel method. Some comparative analyses are also made to show the merits of the method.

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Modified intuitionistic fuzzy SIR approach with an application to supplier selection

Cited by 21 publications

References 16 publications

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

GRA and CRITIC Method for Intuitionistic Fuzzy Multiattribute Group Decision Making and Application to Development Potentiality Evaluation of Cultural and Creative Garden

An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects

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