Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS

Gupta, H.C.; Barua, Mukesh Kumar

doi:10.1016/j.jclepro.2017.03.125

Cited by 448 publications

(223 citation statements)

References 155 publications

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“…A real case analysis is presented to show the validity and superiority of the proposed method. In the future study, we intend to apply the proposed methods to the field of energy [75][76][77][78] and supplier evaluation and selection [79][80][81].…”

Section: Resultsmentioning

confidence: 99%

City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

He¹,

Wu²

2017

Mathematical Problems in Engineering

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Sustainable development evaluation is the basis of city sustainable development research, and effective evaluation is the foundation for guiding the formulation and implementation of sustainable development strategy. In this paper, we provided a new city sustainable development evaluation method called hesitant multiplicative fuzzy TODIM (HMF-TODIM). The main advantage of this method is that it can deal with the subjective preference information of the decision-makers. The comparison study of existing methods and HMF-TODIM is also carried out. Additionally, real case analysis is presented to show the validity and superiority of the proposed method. Research results in this paper can provide useful information for the construction of sustainable cities.

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Section: Resultsmentioning

confidence: 99%

City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

He¹,

Wu²

2017

Mathematical Problems in Engineering

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“…For example, Kannan et al [29] proposed a framework using fuzzy TOPSIS to construct a decision model for Brazilian electronics firms with regard to a green supplier. Gupta and Barua [30] studied supplier selection among small-and medium-sized firms based on their green innovation abilities using fuzzy TOPSIS. Lee et al [31] developed a new procedure that combined the Delphi method with the fuzzy TOPSIS technique for flood risk and vulnerability management.…”

Section: Proposed Methodsmentioning

confidence: 99%

Eco-Innovation in Circular Agri-Business

Shih

Lee

et al. 2018

Sustainability

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This study constructs a theory of eco-innovation in circular agri-business. Although previous studies have discussed eco-innovation in circular agri-business, they did not address eco-innovation from the perspective of a closed-loop sustainable supply chain. Hence, this study applied the fuzzy TOPSIS method to conduct the analysis and determine the interrelationship between eco-innovation and the closed-loop concept. The results are consistent with the theory and a significant improvement in terms of the decisive attributes. The findings suggest that improving water management, relationships with suppliers, knowledge sharing, environmental management systems, and new product and service development are the most effective and efficient ways to build eco-innovation in circular agri-business. The managerial and theoretical implications are discussed.

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“…The basic idea of the TOPSIS method is to rank the alternatives from best to worst. The best solution among the alternatives in the obtained order is the closest one to the positive ideal solution at the same time as the farthest negative solution [16]. Fuzzy numbers are used to deal with real life uncertainty, imprecision, vagueness, and linguistic human decisions.…”

Section: Intuitionistic Fuzzy Topsismentioning

confidence: 99%

“…The most commonly used method for ranking alternatives based on criterion is TOPSIS [11]. The alternative chosen from all alternatives is the closest to the positive ideal solution, in other words the farthest away from the negative ideal solution.…”

Section: Introductionmentioning

confidence: 99%

Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey

Rouyendegh

Yıldızbaşı

Arikan

2018

Advances in Fuzzy Systems

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The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plant site selection. For this purpose 4 alternative wind power plant locations have been identified. To evaluate the alternatives, 10 criteria in four dimensions including wind potential, location, cost, and social benefits are selected. Since the Multicriterion Decision Making (MCDM) methods are often used in problem of location selection from past to present, TOPSIS method combined with intuitionistic fuzzy set (IFS) has been used to achieve this goal. The main purpose of the TOPSIS method is to rank the alternatives in the worst way. The IFS are used to reflect approval, rejection, and hesitation of decision makers by dealing with real life uncertainty, imprecision, vagueness, and linguistic human decisions. Finally, a numerical example is applied for wind power plant site selection. In order to demonstrate the effectiveness of IFS, the problem is solved by the Fuzzy TOPSIS method using the same data. Then, the obtained results are compared with the IFS method to show the effectiveness of the proposed method.

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Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS

Cited by 448 publications

References 155 publications

City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

Eco-Innovation in Circular Agri-Business

Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey

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