IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i8p4835-d796180.html
   My bibliography  Save this article

An Integrated Fuzzy MCDM Hybrid Methodology to Analyze Agricultural Production

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/8/4835/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/8/4835/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2020. "Improving the Strategic Benchmarking of Intellectual Capital Management in Logistics Service Providers," Post-Print hal-03188190, HAL.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Iraj Mohammadfam & Ali Asghar Khajevandi & Hesam Dehghani & Mohammad Babamiri & Maryam Farhadian, 2022. "Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    2. Laila Oubahman & Szabolcs Duleba, 2022. "A Comparative Analysis of Homogenous Groups’ Preferences by Using AIP and AIJ Group AHP-PROMETHEE Model," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    3. Bo-Rui Yan & Qian-Li Dong & Qian Li & Min Li, 2022. "A Study on Risk Measurement of Logistics in International Trade: A Case Study of the RCEP Countries," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    4. Vikas Swarnakar & Amit Raj Singh & Jiju Antony & Raja Jayaraman & Anil Kr Tiwari & Rajeev Rathi & Elizabeth Cudney, 2022. "Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    5. Yixin Wang & Jialu Ren & Lin Zhang & Delin Liu, 2022. "Research on Resilience Evaluation of Green Building Supply Chain Based on ANP-Fuzzy Model," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    6. Yongwei Shi & Jing Zhang & Xufeng Cui & Guanghong Zhang, 2022. "Evaluating Sustainability of Tourism Projects in Rural Land Development Base on a Resilience Model," Land, MDPI, vol. 11(12), pages 1-20, December.
    7. Yang Li & Guoyan Zhao & Pan Wu & Ju Qiu, 2022. "An Integrated Gray DEMATEL and ANP Method for Evaluating the Green Mining Performance of Underground Gold Mines," Sustainability, MDPI, vol. 14(11), pages 1-17, June.
    8. Dragan Pamučar & Masoud Behzad & Miljojko Janosevic & Claudia Andrea Aburto Araneda, 2022. "A Multi-Criteria Decision-Making Framework for Prioritizing and Overcoming Sectoral Barriers in Converting Agricultural Residues to a Building Material," Mathematics, MDPI, vol. 10(21), pages 1-16, October.
    9. Changlu Zhang & Jian Zhang & Qiong Yang, 2022. "Identifying Critical Risk Factors in Green Product Certification Using Hybrid Multiple-Criteria Decision-Making," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    10. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2020. "Improving the Strategic Benchmarking of Intellectual Capital Management in Logistics Service Providers," Post-Print hal-03188190, HAL.
    11. 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.
    12. Elizabeth Emperatriz García-Salirrosas & Ángel Acevedo-Duque, 2022. "PERVAINCONSA Scale to Measure the Consumer Behavior of Online Stores of MSMEs Engaged in the Sale of Clothing," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    13. Quadri Noorulhasan Naveed & Adel Ibrahim Qahmash & Mohamed Rafik N. Qureshi & Naim Ahmad & Mohammed Aref Abdul Rasheed & Md Akhtaruzzaman, 2023. "Analyzing Critical Success Factors for Sustainable Cloud-Based Mobile Learning (CBML) in Crisp and Fuzzy Environment," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    14. Panyu Tang & Mahdi Aghaabbasi & Mujahid Ali & Amin Jan & Abdeliazim Mustafa Mohamed & Abdullah Mohamed, 2022. "How Sustainable Is People’s Travel to Reach Public Transit Stations to Go to Work? A Machine Learning Approach to Reveal Complex Relationships," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    15. Syed Imran Ali & Shaine Mohammadali Lalji & Javed Haneef & Mohsin Yousufi & Kanza Bashir & Saman Sohail & Laiba Sajid Cheema, 2023. "HSE hazard ranking of chemicals related to Petroleum Drilling Laboratory of University using Fuzzy TOPSIS," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1386-1406, September.
    16. 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.
    17. Nitin Kumar Sahu & Atul Kumar Sahu & Anoop Kumar Sahu, 2015. "Appraisement and benchmarking of third-party logistic service provider by exploration of risk-based approach," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1121637-112, December.
    18. Jian Huang & Qinyu Chen & Chengqing Yu, 2022. "A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    19. Du, Yuxian & Lin, Xi & Pan, Ye & Chen, Zhaoxin & Xia, Huan & Luo, Qian, 2023. "Identifying influential airports in airline network based on failure risk factors with TOPSIS," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    20. Akide Cerci Ogmen & Ismail Ekmekci, 2022. "HEART Hybrid Methods for Assessing Human Reliability in Coal-Fired Thermal Power Plant Process," Sustainability, MDPI, vol. 14(17), pages 1-16, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4835-:d:796180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.