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

Author

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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)

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.

Suggested Citation

  • N Deepa & K Ganesan & Kathiravan Srinivasan & Chuan-Yu Chang, 2019. "Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6060-:d:282259
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    References listed on IDEAS

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    1. Byomkesh Talukder & Keith W. Hipel & Gary W. vanLoon, 2018. "Using multi‐criteria decision analysis for assessing sustainability of agricultural systems," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(6), pages 781-799, November.
    2. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834, November.
    3. Ma, Jian & Fan, Zhi-Ping & Huang, Li-Hua, 1999. "A subjective and objective integrated approach to determine attribute weights," European Journal of Operational Research, Elsevier, vol. 112(2), pages 397-404, January.
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    Cited by:

    1. Manuel Sousa & Maria Fatima Almeida & Rodrigo Calili, 2021. "Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda," Sustainability, MDPI, vol. 13(8), pages 1-37, April.
    2. Krzysztof Dmytrów & Beata Bieszk-Stolorz & Joanna Landmesser-Rusek, 2022. "Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method," Energies, MDPI, vol. 15(20), pages 1-17, October.
    3. Michał Piasecki & Krystyna Kostyrko, 2020. "Development of Weighting Scheme for Indoor Air Quality Model Using a Multi-Attribute Decision Making Method," Energies, MDPI, vol. 13(12), pages 1-35, June.
    4. Jarosław Brodny & Magdalena Tutak & Wieslaw Wes Grebski, 2025. "A Holistic Assessment of Sustainable Energy Security and the Efficiency of Policy Implementation in Emerging EU Economies: A Long-Term Perspective," Energies, MDPI, vol. 18(7), pages 1-38, April.
    5. M. Alimohammadlou & Z. Khoshsepehr, 2022. "Investigating organizational sustainable development through an integrated method of interval-valued intuitionistic fuzzy AHP and WASPAS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2193-2224, February.
    6. Adis Puška & Miroslav Nedeljković & Živče Šarkoćević & Zoran Golubović & Vladica Ristić & Ilija Stojanović, 2022. "Evaluation of Agricultural Machinery Using Multi-Criteria Analysis Methods," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    7. Amogh Gyaneshwar & Anirudh Mishra & Utkarsh Chadha & P. M. Durai Raj Vincent & Venkatesan Rajinikanth & Ganapathy Pattukandan Ganapathy & Kathiravan Srinivasan, 2023. "A Contemporary Review on Deep Learning Models for Drought Prediction," Sustainability, MDPI, vol. 15(7), pages 1-31, April.
    8. Priscila Celebrini de Oliveira Campos & Tainá da Silva Rocha Paz & Letícia Lenz & Yangzi Qiu & Camila Nascimento Alves & Ana Paula Roem Simoni & José Carlos Cesar Amorim & Gilson Brito Alves Lima & Ma, 2020. "Multi-Criteria Decision Method for Sustainable Watercourse Management in Urban Areas," Sustainability, MDPI, vol. 12(16), pages 1-22, August.

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