A FUZZY LOGIC-BASED EVALUATION OF FARMER-HERDER CONFLICTS IN KIRIKASAMMA AND GURI LOCAL GOVERNMENT AREAS IN JIGAWA STATE, NIGERIA

Authors

  • D. M Nasallah Department of Mathematics, Federal University Lokoja P.M.B. 1154¸Kogi state, Nigeria Author
  • M. A. Ibrahim Department of Mathematics, Federal University Lokoja P.M.B. 1154¸Kogi state, Nigeria Author
  • R. Kehinde Department of Mathematics, Federal University Lokoja P.M.B. 1154¸Kogi state, Nigeria Author

DOI:

https://doi.org/10.60787/tnamp.v23.616

Keywords:

Fuzzy Logic, Farmers-Herders Conflict, Decision-Making, Stakeholder Preferences

Abstract

This study applies a fuzzy decision-making model to address farmers-herders conflicts in Kirikasamma and Guri LGAs of Jigawa State, Nigeria. Two conflict resolution strategies designated grazing corridors and rotational grazing systems were evaluated using fuzzy linguistic scales and Hamming distance. Stakeholder preferences were aggregated and analyzed, revealing a slight preference for grazing corridors. The results demonstrate the suitability of fuzzy logic in resolving complex, multi-stakeholder conflicts.

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References

Tonah, S. (2006). Managing farmer-herder conflicts in Ghana's Volta Basin. Journal of Modern African Studies, 44 (2), 231-249.

Abbas, I. M. (2014). No retreat no surrender conflict for survival between Fulani pastoralists and farmers in Northern Nigeria. European Scientific Journal, 10 (1), 331-346.

Eniola, J. O. (2010). The Fulani herders and the challenges of land use in Nigeria. Journal of African Studies, 15 (2), 89-104.

Tyabo, I. S., Empraim, N., & Kasarachi, O. (2014). Socio-economic impacts of farmer-herder conflicts in Nigeria. Journal of Development Studies, 50 (8), 1125-1140.

Empraim, N. (2014). Conflict dynamics in Nigeria's agricultural sector . Unpublished manuscript.

Adekunle, O. A., & Adisa, S. R. (2010). Land use conflicts between farmers and herders in Nigeria: The role of government policies. Journal of Rural Development, 29 (4), 345-360.

Blench, R. (2010). The economic impacts of climate change on Nigerian agriculture. Climate Policy, 10 (4), 465-480.

Okereke, C. (2012). Urbanization and resource conflicts in Africa. African Urban Quarterly, 27 (3), 201-215.

Bello, A. W. (2013). Urbanization and resource conflicts in Northern Nigeria. African Urban Quarterly, 28 (4), 501-516.

Olaniyan, A., Yahaya, A., & Okoli, A. (2015). Farmer-herder conflicts and national security in Nigeria. African Security Review, 24 (3), 290-306.

Benjaminsen, T. A., Alinon, K., Buhaug, H., & Buseth, J. T. (2016). Does climate change drive land-use conflicts in the Sahel Journal of Peace Research, 53 (1), 81-95.

Adebayo, A. A., & Olaniyi, O. E. (2008). Climate change and pastoral conflicts in the Middle Belt of Nigeria: A case study of Benue State. Journal of Sustainable Development, 5 (3), 112-125.

Higazi, A. (2013). Farmer-pastoralist conflicts and the insurgency in Northern Nigeria. Conflict, Security & Development, 13 (2), 145-163.

Blench, R. (1996). Pastoralists and farmers in Nigeria: Historical perspectives on conflict and cooperation. Cambridge Journal of Anthropology, 19 (2), 34-52.

Abubakar, M. (2014). Traditional conflict resolution in Northern Nigeria. Kano: Bayero University Press.

Okoli, A. C., & Atelhe, G. A. (2015). Nomads against natives: A political ecology of farmer-herder conflicts in Nigeria. African Security Review, 24 (3), 290-306.

Audu, S. D. (2014). Ranching as a sustainable solution to farmer-herder conflicts in Nigeria. Journal of Agricultural Economics, 8 (2), 56-72.

Ochonu, M. (2016). Colonial legacies and contemporary farmer-herder conflicts in Nigeria. Journal of African History, 57 (3), 389-410.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8 (3), 338-353.

Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7 (1), 1-13.

Zimmermann, H. J. (1991). Fuzzy set theory and its applications (2nd ed.). Kluwer Academic.

Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: Theory and applications. Prentice Hall.

Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making: Methods and applications. Springer-Verlag.

Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. International Journal of Systems Science, 9 (6), 613-626.

Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8(3), 199-249.

Nahmias, S. (1978). Fuzzy variables. Fuzzy Sets and Systems, 1(2), 97-110.

Björck, F. (2016). Stakeholder involvement in conflict resolution.Journal of Peace building, 4 (2), 45-60.

Mello, A. S., & Ruckes, M. E. (2006). Team diversity and decision quality. Management Science, 52 (7), 996-1014.

Li, T. (2013). Fuzzy logic in decision-making. New York: Springer.

Užga-Rebrovs, O., & Kuļešova, G. (2017). Comparison of defuzzification methods for fuzzy decision-making.Applied Soft Computing, 59, 115-126.

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Published

2026-01-07

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Articles

How to Cite

A FUZZY LOGIC-BASED EVALUATION OF FARMER-HERDER CONFLICTS IN KIRIKASAMMA AND GURI LOCAL GOVERNMENT AREAS IN JIGAWA STATE, NIGERIA. (2026). The Transactions of the Nigerian Association of Mathematical Physics, 23, 1-12. https://doi.org/10.60787/tnamp.v23.616

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