Analytic hierarchy process based on interval type-2 intuitionistic fuzzy sets with their application to multicriteria decision making

2018 ◽  
Vol 12 (3) ◽  
pp. 359-370
Author(s):  
Joy Debnath ◽  
Animesh Biswas
2020 ◽  
Vol 15 (4) ◽  
pp. 01-22
Author(s):  
Diego Valério de Godoy Delmonico ◽  
Hugo Henrique dos Santos ◽  
Octaviano Rojas Luiz ◽  
João Victor Rojas Luiz ◽  
Bárbara Stolte Bezerra ◽  
...  

Purpose – This paper aims to identify the main barriers to the development of Corporate Social Responsibility (CSR) in the view of a leading Non-governmental Organization (NGO). The proposed methodology evaluates the importance attached to different classes of barriers to CSR from a privileged perspective of a Brazilian NGO. Theoretical framework – This research was based on the current theory of barriers to CSR initiatives and multicriteria decision making. Design/methodology/approach – The Analytic Hierarchy Process (AHP) method was used for the assessment and prioritization of barriers to CSR through expert opinion. Ranking stability was tested by sensitivity analysis of the assigned weights. Findings – The results indicate that the main barrier is the lack of top management commitment. By contrast, the least determinant barriers were the lack of social auditing, diversity, and customer awareness. Originality/value – The article contributes by extending the application of multiple-criteria decision-making methods to CSR and evaluating the relative importance of the barriers. This study also offers empirical results that extend the discussion on barriers to social responsibility, guiding managers and decision makers who lead CSR initiatives in organizations to understand which barriers should be overcome, and where to spend managerial effort on. Keywords - Analytic hierarchy process; Multicriteria decision making; CSR; Non-governmental organizations; Sustainable development.


Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 211 ◽  
Author(s):  
Chia-Nan Wang ◽  
Hsiung-Tien Tsai ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen ◽  
Ying-Fang Huang

Selecting suppliers plays an important role in improving efficiency of supply chains. In the field of extraction of vegetable oil, one of the main submaterials is hexane solvent. Choosing a supplier of hexane solvent is a multicriteria decision-making task that decision-makers must have an understanding of the quantitative and qualitative elements for assessing the symmetrical impact of the criteria to reach the most accurate result. In this paper, the authors suggest a multicriteria decision-making (MCDM) model for N-hexane solvent (C6H14) supplier evaluation and selection for vegetable oil production. All criteria affecting to the hexane solvent supplier evaluation and selection process are defined by experts. Then, a fuzzy analytic hierarchy process (FAHP) multicriteria comparative analysis method has been applied for determining the weight of all criteria. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was applied to select the optimal hexane solvent supplier. As a result, decision making unit 003 (DMU3) is the optimal supplier. The contribution of this research is to propose an MCDM model for hexane solvent supplier selection in the food industry. The work also proposed a useful guideline for supplier evaluation and selection processes in other industries.


2014 ◽  
Vol 59 ◽  
pp. 48-57 ◽  
Author(s):  
Cengiz Kahraman ◽  
Başar Öztayşi ◽  
İrem Uçal Sarı ◽  
Ebru Turanoğlu

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