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.
Highlights
Decision-making is the process of identifying the best option from the given set of alternatives, which is characterized by multiple criteria [1]
The ranking index of the main criteria was generated by the Simple Additive Weighting (SAW) method using the formula given in Equation (17) by applying the weights of sub-criteria obtained from the proposed Modified Integrated Weighting (MIW) method
For determining the weights of the main criteria that were applied to CORPAS, the rank-sum method was used in this paper
Summary
Decision-making is the process of identifying the best option from the given set of alternatives, which is characterized by multiple criteria [1]. A decision model was developed for the assessment of agriculture land suitability using a fuzzy approach and MCDM method in which a subject weight assignment method, namely the analytical hierarchy process (AHP), was applied [17]. An evaluation model was developed to rank the economics journals by applying objective weight assignment method, namely, grey correlation method and technique for order of preference by similarity to ideal solution (TOPSIS) method [23]. A mathematical programming model was established to calculate the objective weights of criteria for implementing the technique for order of preference by similarity to ideal solution (TOPSIS) method [26] The advantages of these objective weight assignment methods are they calculate weights based on the dataset associated with each criterion by applying the mathematical formula, and they do not depend on the opinion of the experts.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
