Multi-Criteria Decision-Making for Sustainable Agritourism: An Integrated Fuzzy-Rough Approach

Sajida Kousar; Nasreen Kausar

doi:10.31181/sor21202515

Authors

Sajida Kousar Department of Mathematics and Statistics, International Islamic University Islamabad, Pakistan Author https://orcid.org/0000-0001-8157-7909
Nasreen Kausar Department of Mathematics, Faculty of Arts and Sciences, Yildiz Technical University, Esenler, 34220, Istanbul, T¨urkiye Author https://orcid.org/0000-0002-8659-0747

DOI:

https://doi.org/10.31181/sor21202515

Keywords:

Fuzzy rough set, Multi-criteria decision-making, Sustainability, Agritourism

Abstract

Agriculture remains the backbone of Pakistan’s economy, supporting a substantial segment of the rural population. Recently, agritourism has emerged as a viable avenue for economic diversification, offering new income streams in rural communities. This study explores stakeholder perceptions of sustainable development in agritourism and seeks to identify the key criteria and alternatives necessary for strategic decision-making in this sector. The fuzzy rough set approach is used for multi-criteria decision-making on the data collected from a questionnaire-based survey. Seven alternatives are analyzed for ten criteria. The analysis revealed that retail opportunities, agri-farm tours, farm stays, and on-site activities are the high-ranked alternatives for balancing sustainable agritourism's economic, environmental, and social impacts.

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References

Baby, J., & Kim,D.-Y. (2024). Sustainable agritourism for farm profitability: Comprehensive evaluation of visitors’ intrinsic motivation, environmental behavior, and satisfaction. Land, 13(9), 1466. https://doi.org/10.3390/land13091466

Rauniyar, S., Awasthi, M. K., Kapoor, S., & Mishra, A. K. (2021). Agritourism: Structured literature review and bibliometric analysis. Tourism Recreation Research, 46(1), 52–70. https://doi.org/10.1080/02508281.2020.1753913

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

Pawlak, Z. (1982). Rough sets. International journal of computer & information sciences, 11, 341–356. https://doi.org/10.1007/BF01001956

Roman, M., Roman, M., & Prus, P. (2020). Innovations in agritourism: Evidence from a region in Poland. Sustainability, 12(12), 4858. https://doi.org/10.3390/su12124858

Shumaev, V. A., Morkovkin, D. E., Nikonorova, A. V., Nezamaikin, V. N., & Yurzinova, I. L. (2018). Innovative aspects of agritourism project management. In Financial and economic tools used in the world hospitality industry (pp. 241–247). CRC Press.

Santeramo, F. G., & Barbieri, C. (2017). On the demand for agritourism: A cursory review of methodologies and practice. Tourism planning & development, 14(1), 139–148. https://doi.org/10.1080/21568316.2015.1137968

Mironkina, A. Y., Kharitonov, S.S., Podkovyrov, I. Y., Zueva, V. Y., & Streltsova, V.A. (2022). Russian agritourism: Ways of development and generating income. IOP Conference Series: Earth and Environmental Science, (Vol. 953, No(1), p. 012039). IOP Publishing. https://doi.org/10.1088/1755-1315/953/1/012039

Mahmoodi, M., Roman, M., & Prus, P. (2022). Features and challenges of agritourism: Evidence from Iran and Poland. Sustainability, 14(8), 4555. https://doi.org/10.3390/su14084555

Grillini, G., Sacchi, G., Chase, L., Taylor, J., Van Zyl, C. C., Van Der Merwe, P., Streifeneder, T., & Fischer, C. (2022). Qualitative assessment of agritourism development support schemes in Italy, the USA and South Africa. Sustainability, 14(13), 7903. https://doi.org/10.3390/su14137903

Domi, S., & Belletti, G. (2022). The role of origin products and networking on agritourism performance: The case of tuscany. Journal of Rural Studies, 90, 113–123. https://doi.org/10.1016/j.jrurstud.2022.01.013

Gordan, M.-I., Popescu, C. A., C˘alina, J., Adamov, T. C., M˘anescu, C. M., & Iancu, T. (2024). Spatial analysis of seasonal and trend patterns in romanian agritourism arrivals using seasonaltrend decomposition using loess. Agriculture, 14(2), 229. https://doi.org/10.3390/agriculture14020229

Mahaptra, P., Bandaru, R., Nanda, D., & Tripathy, S. (2023). Determining key influential factors of rural tourism—an ahp model. Optimization Techniques in Engineering: Advances and Applications, 323–343. https://doi.org/10.1002/9781119906391.ch20

Wu, C. K., Wang, C.-N., & Le, T. K. T. (2022). Fuzzy multi criteria decision making model for agritourism location selection: A case study in vietnam. Axioms, 11(4), 176. https://doi.org/10.3390/axioms11040176

Puška, A., Nedeljković, M., Jeločnik, M., Subić, J., Nancu, D., & Andrei, J. V. (2022). An assessment of improving the sustainable agro-touristic offer in an emerging country using the integrative approach based on fuzzy logic. Frontiers in environmental science, 10, 894811. https://doi.org/10.3389/fenvs.2022.894811

Rezaeifar, M., Zare Mehrjerdi, M., Nezamabadi-pour, H., & Mehrabi Boshr Abadi, H. (2023). Designing a sustainable development model for agricultural sector under critical circumstances (covid-19 pandemic): A fuzzy approach. Iranian Journal of Fuzzy Systems, 20(2), 173–200. https://doi.org/10.22111/ijfs.2023.7565

Vazin, N., Sadeghi, A., & Barati, Z. (2024). Identification of suitable villages for agritourism development (a case study of semirom county). Spatial Planning, 14(3), 1–30. https://doi.org/10.22108/sppl.2024.141052.1781

Ghaforiyan, M., Sorourkhah, A., & Edalatpanah, S. A. (2024). Identifying and prioritizing antifragile tourism strategies in a neutrosophic environment. Journal of Fuzzy Extension and Applications, 5(3), 374–394. https://doi.org/10.22105/jfea.2024.456894.1470

Jensen, R., & Shen, Q. (2004). Fuzzy–rough attribute reduction with application to web categorization. Fuzzy sets and systems, 141(3), 469–485. https://doi.org/10.1016/S0165-0114(03)00021-6

Pawlak, Z. (2012). Rough sets: Theoretical aspects of reasoning about data (Vol. 9). Springer Science & Business Media.

Tanino, T. (1984). Fuzzy preference orderings in group decision making. Fuzzy sets and systems, 12(2), 117–131. https://doi.org/10.1016/0165-0114(84)90032-0