Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

N Deepa, K Ganesan, Kathiravan Srinivasan and Chuan-Yu Chang
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N Deepa: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India
K Ganesan: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India
Kathiravan Srinivasan: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India
Chuan-Yu Chang: Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Douliu City 64002, Yunlin County, Taiwan

Sustainability, 2019, vol. 11, issue 21, 1-20

Abstract: One of the crucial elements in decision-making is the calculation of criteria weights. In this paper, a new Modified Integrated Weighting (MIW) method was proposed to combine the weights obtained using different weight calculation methods into a single set of weights. The weights express the relative significance of the criteria and play an essential role in making correct decisions. The proposed method considered both subjective knowledge of the experts and the objectivity of the problem by combining the subjective and objective weight assignment methods. The proposed weight calculation method was applied to the agriculture dataset for the evaluation of groundnut crop sites. A decision-making model was developed via the proposed MIW method and Complex Proportional Assessment (COPRAS) method to rank the given groundnut crop site dataset. The ranking results of the developed decision model were compared with the ranking results of average yield data and other methods for validation purposes. The developed model exhibited better results for the given dataset and could be used to solve various other decision-making problems, thereby realizing sustainable development.

Keywords: AHP; COPRAS; CRITIC; decision-making; integrated weighting method; rank-sum (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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