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Renewable energy-based sustainable oilseed selection problem: a new integrated group decision model under dynamic uncertainty

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Abstract

Energy demands worldwide have been rising for a while and will continue in recent years. Most of today's energy conditions are met by non-renewable energy sources, which contaminate the conditions and consume pretty rapidly. Renewable energy alternatives, i.e., biomass, can be regarded as inexpensive, reliable, secure, and sustainable energy for ever-increasing people. To choose the best renewable energy alternative to meet the rising energy needs, various elements, such as economic, social, and environmental, must be considered by decision-makers. Thus, this paper examines a new weighting method to compute the criteria weights and experts weights with a new integrated dynamic interval-valued hesitant fuzzy set (DIVHFS). The introduced decision-maker weighting method is based on the direct and indirect decision matrixes. Afterward, the criteria weights are computed using a new maximizing deviation method and the proposed entropy approach under DIVHFS conditions. Afterward, a new soft computing ranking method is proposed based on the positive and negative ideal solution values under DIVHFS to rank the main alternatives that are related to oilseeds products. A sensitivity analysis is discussed on experts’ weights and criteria weights. In this respect, the amount of experts’ weights changes to measure its impacts on the criteria weights. Furthermore, the dependency of the criteria weights on final ranking results is obtained by changing the weights among each other. A comparative analysis is introduced to compare the proposed model with two existing ranking methods in the current literature. The results indicate that jatropha is the optimum oilseed to select in the presented case study.

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References

  • Abdel-Basset, M., Gamal, A., Chakrabortty, R. K., et al. (2021). Evaluation of sustainable hydrogen production options using an advanced hybrid MCDM approach: A case study. International Journal of Hydrogen Energy, 46(5), 4567–4591.

    Article  CAS  Google Scholar 

  • Antar, M., Lyu, D., Nazari, M., et al. (2021). Biomass for a sustainable bioeconomy: An overview of world biomass production and utilization. Renewable and Sustainable Energy Reviews, 139, 110691.

    Article  CAS  Google Scholar 

  • Behzadipour, A., Gitinavard, H., & Akbarpour Shirazi, M. (2022). A novel hierarchical dynamic group decision-based fuzzy ranking approach to evaluate the green road construction suppliers. Scientia Iranica.

  • Bilgili, F., Zarali, F., Ilgün, M. F., et al. (2022). The evaluation of renewable energy alternatives for sustainable development in Turkey using intuitionistic fuzzy-TOPSIS method. Renewable Energy, 189, 1443–1458.

    Article  CAS  Google Scholar 

  • Borujeni, M. P., & Gitinavard, H. (2017). Evaluating the sustainable mining contractor selection problems: An imprecise last aggregation preference selection index method. Journal of Sustainable Mining, 16(4), 207–218.

    Article  Google Scholar 

  • Büyüközkan, G., & Güleryüz, S. (2017). Evaluation of renewable energy resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations. Energy, 123, 149–163.

    Article  Google Scholar 

  • Chen, N., Xu, Z., & Xia, M. (2013). Interval-valued hesitant preference relations and their applications to group decision making. Knowledge-Based Systems, 37, 528–540.

    Article  CAS  Google Scholar 

  • Cobuloglu, H. I., & Büyüktahtakın, İE. (2015). A stochastic multi-criteria decision analysis for sustainable biomass crop selection. Expert Systems with Applications, 42(15–16), 6065–6074.

    Article  Google Scholar 

  • Dincer, I. (2007). Environmental and sustainability aspects of hydrogen and fuel cell systems. International Journal of Energy Research, 31(1), 29–55.

    Article  CAS  Google Scholar 

  • Dorfeshan, Y., Jolai, F., & Mousavi, S. M. (2023a). A new risk quantification method in project-driven supply chain by MABACODAS method under interval type-2 fuzzy environment with a case study. Engineering Applications of Artificial Intelligence, 119, 105729.

    Article  Google Scholar 

  • Dorfeshan, Y., Jolai, F., & Mousavi, S. M. (2023). A multi-criteria decision-making model for analyzing a project-driven supply chain under interval type-2 fuzzy sets. Applied Soft Computing, 148, 110902.

    Article  Google Scholar 

  • Flint, S. A., Shaw, R. G., & Jordan, N. R. (2021). Effects of selection regime on invasive characteristics in an emerging biomass crop, switchgrass (Panicum virgatum L.). Sustainability, 13(9), 5045.

    Article  CAS  Google Scholar 

  • Gitinavard, H., Akbarpour Shirazi, M., & Fazel Zarandi, M. H. (2021). A possibilistic programming approach for biomass supply chain network design under hesitant fuzzy membership function estimation. Scientia Iranica.

  • Gitinavard, H. (2019). Strategic evaluation of sustainable projects based on hybrid group decision analysis with incomplete information. Journal of Quality Engineering and Production Optimization, 4(2), 17–30.

    Google Scholar 

  • Gitinavard, H., & Akbarpour Shirazi, M. (2018). An extended intuitionistic fuzzy modified group complex proportional assessment approach. Journal of Industrial and Systems Engineering, 11(3), 229–246.

    Google Scholar 

  • Gitinavard, H., Ghaderi, H., & Pishvaee, M. S. (2018). Green supplier evaluation in manufacturing systems: A novel interval-valued hesitant fuzzy group outranking approach. Soft Computing, 22(19), 6441–6460.

    Article  Google Scholar 

  • Gitinavard, H., Makui, A., & Jabbarzadeh, A. (2016). Interval-valued hesitant fuzzy method based on group decision analysis for estimating weights of decision makers. Journal of Industrial and Systems Engineering, 9(3), 96–110.

    Google Scholar 

  • Gitinavard, H., Shirazi, M. A., & Zarandi, M. H. F. (2020). Sustainable feedstocks selection and renewable products allocation: A new hybrid adaptive utility-based consensus model. Journal of Environmental Management, 264, 110428.

    Article  Google Scholar 

  • Gitinavard, H., & Zarandi, M. H. F. (2016). A mixed expert evaluation system and dynamic interval-valued hesitant fuzzy selection approach. International Journal of Mathematical and Computational Sciences, 10(7), 341–349.

    Google Scholar 

  • Goedkoop, M., Heijungs, R., Huijbregts, M., et al. (2009). ReCiPe 2008. A Life Cycle Impact Assessment Method Which Comprises Harmonised Category Indicators at the Midpoint and the Endpoint Level, 1, 1–126.

    Google Scholar 

  • Gunstone, F. (2011). Vegetable oils in food technology: Composition, properties and uses. Wiley.

    Book  Google Scholar 

  • Hosseini, S. E., Andwari, A. M., Wahid, M. A., et al. (2013). A review on green energy potentials in Iran. Renewable and Sustainable Energy Reviews, 27, 533–545.

    Article  Google Scholar 

  • Ishfaq, S., Ali, S., & Ali, Y. (2018). Selection of optimum renewable energy source for energy sector in Pakistan by using MCDM approach. Process Integration and Optimization for Sustainability, 2(1), 61–71.

    Article  Google Scholar 

  • Jeong, J. S., & Ramírez-Gómez, Á. (2018). Optimizing the location of a biomass plant with a fuzzy-decision-making trial and evaluation laboratory (F-DEMATEL) and multi-criteria spatial decision assessment for renewable energy management and long-term sustainability. Journal of Cleaner Production, 182, 509–520.

    Article  Google Scholar 

  • Karaşan, A., Boltürk, E., & Kahraman, C. (2019). A novel neutrosophic CODAS method: Selection among wind energy plant locations. Journal of Intelligent and Fuzzy Systems, 36(2), 1491–1504.

    Article  Google Scholar 

  • Karatop, B., Taşkan, B., Adar, E., et al. (2021). Decision analysis related to the renewable energy investments in Turkey based on a Fuzzy AHP-EDAS-Fuzzy FMEA approach. Computers and Industrial Engineering, 151, 106958.

    Article  Google Scholar 

  • Lee, H.-C., & Chang, C.-T. (2018). Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renewable and Sustainable Energy Reviews, 92, 883–896.

    Article  Google Scholar 

  • Li, T., Li, A., & Guo, X. (2020). The sustainable development-oriented development and utilization of renewable energy industry—A comprehensive analysis of MCDM methods. Energy, 212, 118694.

    Article  Google Scholar 

  • Lu, P., Yang, X., & Wang, Z.-J. (2018). Fuzzy group consensus decision making and its use in selecting energy-saving and low-carbon technology schemes in star hotels. International Journal of Environmental Research and Public Health, 15(9), 2057.

    Article  Google Scholar 

  • Madhu, P., Dhanalakshmi, C. S., & Mathew, M. (2020). Multi-criteria decision-making in the selection of a suitable biomass material for maximum bio-oil yield during pyrolysis. Fuel, 277, 118109.

    Article  CAS  Google Scholar 

  • Mardoyan, A., & Braun, P. (2015). Analysis of Czech subsidies for solid biofuels. International Journal of Green Energy, 12(4), 405–408.

    Article  CAS  Google Scholar 

  • Maroušek, J. (2023). Aluminum nanoparticles from liquid packaging board improve the competitiveness of (bio) diesel. Clean Technologies and Environmental Policy, 25(3), 1059–1067.

    Article  Google Scholar 

  • Maroušek, J., & Gavurová, B. (2022). Recovering phosphorous from biogas fermentation residues indicates promising economic results. Chemosphere, 291, 133008.

    Article  Google Scholar 

  • Maroušek, J., Gavurová, B., Strunecký, O., et al. (2023). Techno-economic identification of production factors threatening the competitiveness of algae biodiesel. Fuel, 344, 128056.

    Article  Google Scholar 

  • Maroušek, J., & Kwan, J. T. H. (2013). Use of pressure manifestations following the water plasma expansion for phytomass disintegration. Water Science and Technology, 67(8), 1695–1700.

    Article  Google Scholar 

  • Maroušek, J., Strunecký, O., Bartoš, V., et al. (2022). Revisiting competitiveness of hydrogen and algae biodiesel. Fuel, 328, 125317.

    Article  Google Scholar 

  • Mastrocinque, E., Ramírez, F. J., Honrubia-Escribano, A., et al. (2020). An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector. Expert Systems with Applications, 150, 113321.

    Article  Google Scholar 

  • Mohagheghi, V., & Mousavi, S. M. (2019). A new framework for high-technology project evaluation and project portfolio selection based on Pythagorean fuzzy WASPAS, MOORA and mathematical modeling. Iranian Journal of Fuzzy Systems, 16(6), 89–106.

    Google Scholar 

  • Mohagheghi, V., Mousavi, S. M., Mojtahedi, M., et al. (2020). Evaluating large, high-technology project portfolios using a novel interval-valued Pythagorean fuzzy set framework: An automated crane project case study. Expert Systems with Applications, 162, 113007.

    Article  Google Scholar 

  • Mousavi, M., Gitinavard, H., & Mousavi, S. (2017). A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information. Renewable and Sustainable Energy Reviews, 68, 774–787.

    Article  Google Scholar 

  • Ossei-Bremang, R., & Kemausuor, F. (2021). A decision support system for the selection of sustainable biomass resources for bioenergy production. Environment Systems and Decisions, 41(3), 437–454.

    Article  Google Scholar 

  • Park, K., Sanjaya, S. A., Quach, T., et al. (2021). Toward sustainable production of value-added bioenergy and industrial oils in oilseed and biomass feedstocks. GCB Bioenergy, 13(10), 1610–1623.

    Article  CAS  Google Scholar 

  • Qureshi, M. R. N., Singh, R. K., & Hasan, M. (2018). Decision support model to select crop pattern for sustainable agricultural practices using fuzzy MCDM. Environment, Development and Sustainability, 20(2), 641–659.

    Article  Google Scholar 

  • Ramesh, P., Selvan, V. A. M., & Babu, D. (2022). Selection of sustainable lignocellulose biomass for second-generation bioethanol production for automobile vehicles using lifecycle indicators through fuzzy hybrid PyMCDM approach. Fuel, 322, 124240.

    Article  CAS  Google Scholar 

  • Rani, P., Mishra, A. R., Mardani, A., et al. (2020). A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection. Journal of Cleaner Production, 257, 120352.

    Article  Google Scholar 

  • Ren, J. (2018). Sustainability prioritization of energy storage technologies for promoting the development of renewable energy: A novel intuitionistic fuzzy combinative distance-based assessment approach. Renewable Energy, 121, 666–676.

    Article  Google Scholar 

  • Salarpour, H., Amiri, G. G., & Mousavi, S. M. (2019). Criteria assessment in sustainable macromanagement of housing provision problem by a multi-phase decision approach with DEMATEL and dynamic uncertainty. Arabian Journal for Science and Engineering, 44, 7313–7333.

    Article  Google Scholar 

  • Salimian, S., Mousavi, S. M., & Turskis, Z. (2023). Transportation mode selection for organ transplant networks by a new multi-criteria group decision model under interval-valued intuitionistic fuzzy uncertainty. Informatica, 34(2), 337–355.

    Article  Google Scholar 

  • Saraswat, S., Digalwar, A., & Yadav, S. (2020). Development of assessment model for selection of sustainable energy source in India: Hybrid fuzzy MCDM approach. In: International conference on intelligent and fuzzy systems. Springer.

  • Sarwar, M. F., Sarwar, M. H., Sarwar, M., et al. (2013). The role of oilseeds nutrition in human health: A critical review. Journal of Cereals and Oilseeds, 4(8), 97–100.

    Article  Google Scholar 

  • Sedghiyan, D., Ashouri, A., Maftouni, N., et al. (2021). Prioritization of renewable energy resources in five climate zones in Iran using AHP, hybrid AHP-TOPSIS and AHP-SAW methods. Sustainable Energy Technologies and Assessments, 44, 101045.

    Article  Google Scholar 

  • Sekar, M., Kumar, T. P., Kumar, M. S. G., et al. (2021). Techno-economic review on short-term anthropogenic emissions of air pollutants and particulate matter. Fuel, 305, 121544.

    Article  CAS  Google Scholar 

  • Sindhu, S., Nehra, V., & Luthra, S. (2017). Solar energy deployment for sustainable future of India: Hybrid SWOC-AHP analysis. Renewable and Sustainable Energy Reviews, 72, 1138–1151.

    Article  Google Scholar 

  • Solangi, Y. A., Longsheng, C., & Shah, S. A. A. (2021). Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach. Renewable Energy, 173, 209–222.

    Article  Google Scholar 

  • Solgi, E., Gitinavard, H., & Tavakkoli-Moghaddam, R. (2021). Sustainable high-tech brick production with energy-oriented consumption: An integrated possibilistic approach based on criteria interdependencies. Sustainability, 14(1), 202.

    Article  Google Scholar 

  • Stavkova, J., & Maroušek, J. (2021). Novel sorbent shows promising financial results on P recovery from sludge water. Chemosphere, 276, 130097.

    Article  CAS  Google Scholar 

  • Stojčić, M., Zavadskas, E. K., Pamučar, D., et al. (2019). Application of MCDM methods in sustainability engineering: A literature review 2008–2018. Symmetry, 11(3), 350.

    Article  Google Scholar 

  • Tavakkoli-Moghaddam, R., Gitinavard, H., Mousavi, S. M., et al. (2015). An interval-valued hesitant fuzzy TOPSIS method to determine the criteria weights. In: International conference on group decision and negotiation. Springer.

  • Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25(6), 529–539.

    Google Scholar 

  • Vochozka, M., Horak, J., Krulický, T., et al. (2020). Predicting future Brent oil price on global markets. Acta Montanistica Slovaca, 25(3), 375.

    Google Scholar 

  • Vochozka, M., Rowland, Z., Suler, P., et al. (2020). The influence of the international price of oil on the value of the EUR/USD exchange rate. Journal of Competitiveness, 12(2), 167–190.

    Article  Google Scholar 

  • Wang, L., Peng, J.-J., & Wang, J.-Q. (2018). A multi-criteria decision-making framework for risk ranking of energy performance contracting project under picture fuzzy environment. Journal of Cleaner Production, 191, 105–118.

    Article  Google Scholar 

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Acknowledgements

The authors express their gratitude to several reviewers for their valuable comments and suggestions on the study.

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  1. Department of Industrial Engineering, Shahed University, Tehran, Iran

    Hossein Savoji & Seyed Meysam Mousavi

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  1. Hossein Savoji
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  2. Seyed Meysam Mousavi
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HS involved in conceptualization, methodology, investigation, and writing—original draft. SMM involved in methodology, formal analysis, supervision, and writing—review and editing.

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Correspondence to Seyed Meysam Mousavi.

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Savoji, H., Mousavi, S. Renewable energy-based sustainable oilseed selection problem: a new integrated group decision model under dynamic uncertainty. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-023-04406-3

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