scholarly journals Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Andrzej Piegat ◽  
Wojciech Sałabun
Keyword(s):  
Decision Making ◽  
Reference Model ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Rank Reversal ◽  
Reversal Phenomenon ◽  
Small Set ◽  
Decision Making Model ◽  
Hierarchy Process

This paper presents a new, nonlinear, multicriteria, decision-making method: the characteristic objects (COMET). This approach, which can be characterized as a fuzzy reference model, determines a measurement standard for decision-making problems. This model is distinguished by a constant set of specially chosen characteristic objects that are independent of the alternatives. After identifying a multicriteria model, this method can be used to compare any number of decisional objects (alternatives) and select the best one. In the COMET, in contrast to other methods, the rank-reversal phenomenon is not observed. Rank-reversal is a paradoxical feature in the decision-making methods, which is caused by determining the absolute evaluations of considered alternatives on the basis of the alternatives themselves. In the Analytic Hierarchy Process (AHP) method and similar methods, when a new alternative is added to the original alternative set, the evaluation base and the resulting evaluations of all objects change. A great advantage of the COMET is its ability to identify not only linear but also nonlinear multicriteria models of decision makers. This identification is based not on a ranking of component criteria of the multicriterion but on a ranking of a larger set of characteristic objects (characteristic alternatives) that are independent of the small set of alternatives analyzed in a given problem. As a result, the COMET is free of the faults of other methods.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 12 (1) ◽  
pp. 75-90
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Energy Planning ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Promethee Ii ◽  
Sustainability Criteria ◽  
Hierarchy Process

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II), and elimination and choice translating reality (ELECTRE III). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.

scholarly journals Barriers to Corporate Social Responsibility: perceptions of a leading non-governmental organization

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 ◽  
...  
Keyword(s):  
Decision Making ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Analytic Hierarchy Process ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Governmental Organization ◽  
Multicriteria Decision ◽  
Corporate Social ◽  
Hierarchy Process

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.

scholarly journals A Hybrid Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution Supplier Evaluation and Selection in the Food Processing Industry

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 211 ◽  
Author(s):  
Chia-Nan Wang ◽  
Hsiung-Tien Tsai ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen ◽  
Ying-Fang Huang
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Vegetable Oil ◽  
Multicriteria Decision Making ◽  
Fuzzy Analytic Hierarchy Process ◽  
Supplier Evaluation ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Hierarchy Process

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.

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