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An Integrated Fuzzy MCDM Hybrid Methodology to Analyze Agricultural Production

Author

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  • Babak Daneshvar Rouyendegh

    (Department of Industrial Engineering, Ankara Yıldırım Beyazıt University, Ankara 06010, Turkey)

  • Şeyda Savalan

    (Department of Agricultural Biotechnology, Faculty of Agriculture, Tekirdag Namık Kemal University, D.alti, Tekirdağ 59070, Turkey)

Abstract

A hybrid model was developed by combining multiple-criteria decision-making (MCDM) with the analytic hierarchy process (AHP) and a fuzzy set to give decision support for choosing sustainable solutions to agricultural problems. Six steps were taken to build the suggested hybrid model: identifying and weighing criteria; normalizing data using fuzzy membership functions; calculating the weighting of the criteria using AHP; and selecting the best alternative for the agricultural problem. The objective of this case study is to demonstrate how agricultural production techniques (APTs) are becoming more complex as agricultural production becomes more complex. Organic agriculture aims to protect both the environment and consumer satisfaction by utilizing organic management practices that do not have the negative effects associated with conventional and genetic engineering production. Meanwhile, products obtained through conventional and genetic engineering techniques are more cost-effective. To present the superiority of the proposed fuzzy MCDM hybrid model, this problem is used as the causative agent’s dataset. Because the challenge involves a large number of competing quantitative and qualitative criteria, the assessment approach should improve the ratio of input data to output data. As a result, agricultural productivity should be controlled holistically. However, because the problem may contain both qualitative and quantitative facts and uncertainties, it is necessary to represent the uncertainty inherent in human thinking. To achieve superior outcomes, fuzzy set theory (FST), which enables the expression of uncertainty in human judgments, can be integrated with). The purpose of this study is to present a novel MCDM approach based on fuzzy numbers for analyzing decision-making scenarios. The proposed methodology, which is based on Buckley’s fuzzy analytic hierarchy process (B-FAHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS), uses Buckley’s fuzzy analytic hierarchy process (B-FAHP) and fuzzy TOPSIS to determine weights and rank alternatives, respectively. As a result, we attempted to include both the uncertainty and hesitancy of experts in the decision-making process through the use of fuzzy numbers. We have three main criteria in this study: Satisfaction (C1), Economy (C2), and Environment (C3). An important objective of the current research is to build a complete framework for evaluating and grading the suitability of technologies. A real-world case study is used to demonstrate the suggested paradigm’s validity.

Suggested Citation

  • Babak Daneshvar Rouyendegh & Şeyda Savalan, 2022. "An Integrated Fuzzy MCDM Hybrid Methodology to Analyze Agricultural Production," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4835-:d:796180
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    References listed on IDEAS

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    1. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2020. "Improving the Strategic Benchmarking of Intellectual Capital Management in Logistics Service Providers," Post-Print hal-03188190, HAL.
    2. Peyman Zandi & Mohammad Rahmani & Mojtaba Khanian & Amir Mosavi, 2020. "Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)," Agriculture, MDPI, vol. 10(11), pages 1-27, October.
    3. Sujan Piya & Ahm Shamsuzzoha & Muhammad Azizuddin & Nasr Al-Hinai & Babek Erdebilli, 2022. "Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman," Sustainability, MDPI, vol. 14(3), pages 1-22, January.
    4. Muhammad Hamza Naseem & Jiaqi Yang & Ziquan Xiang, 2021. "Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    5. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2015. "Use of an Analytic Network Process and Monte Carlo Analysis in New Product Formula Selection Decisions," Post-Print hal-02313271, HAL.
    6. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2015. "Use of an Analytic Network Process and Monte Carlo Analysis in New Product Formula Selection Decisions," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 32(02), pages 1-28.
    7. M.N. Qureshi & Pradeep Kumar & Dinesh Kumar, 2009. "Framework for benchmarking logistics performance using fuzzy AHP," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 1(1), pages 82-98.
    8. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2020. "Improving the Strategic Benchmarking of Intellectual Capital Management in Logistics Service Providers," Sustainability, MDPI, vol. 12(23), pages 1-25, December.
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    Cited by:

    1. Xiuguo Wu & Yibai Meng, 2022. "Evaluation and Selection of Cement Suppliers under the Background of New and Old Driving Energy Conversion in China," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    2. Abdullah M. Barasin & Ammar Y. Alqahtani & Anas A. Makki, 2024. "Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI," Logistics, MDPI, vol. 8(1), pages 1-23, January.
    3. Rūta Savickienė & Aistė Galnaitytė, 2024. "Unveiling Determinants of Successful Dairy Farm Performance from Dairy Exporting EU Countries," Agriculture, MDPI, vol. 14(7), pages 1-23, July.

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