IDEAS home Printed from https://ideas.repec.org/a/caa/jnljfs/v63y2017i8id7-2017-jfs.html
   My bibliography  Save this article

Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering

Author

Listed:
  • Ali Akbar JAFARZADEH

    (Department of Forest Sciences, Faculty of Agriculture and Natural Resources, University of Ilam, Ilam, Iran)

  • Ali MAHDAVI

    (Department of Forest Sciences, Faculty of Agriculture and Natural Resources, University of Ilam, Ilam, Iran)

  • Heydar JAFARZADEH

    (Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Ilam, Iran)

Abstract

In this study we evaluated forest fire risk in the west of Iran using the Apriori algorithm and fuzzy c-means (FCM) clustering. We used twelve different input parameters to model fire risk in Ilam Province. Our results with minimum support and minimum confidence show strong relationships between wildfire occurrence and eight variables (distance from settlement, population density, distance from road, slope, standing dead oak trees, temperature, land cover and distance from farm land). In this study, we defined three clusters for each variable: low, middle and high. The data regarding the factors affecting forest fire risk were distributed in these three clusters with different degrees of membership and the final map of all factors was classified by FCM clustering. Each layer was then created in a geographic information system. Finally, wildfire risks in the area obtained from overlaying these layers were classified into five categories, from very low to very high according to the degree of danger.

Suggested Citation

  • Ali Akbar JAFARZADEH & Ali MAHDAVI & Heydar JAFARZADEH, 2017. "Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(8), pages 370-380.
    • Handle: RePEc:caa:jnljfs:v:63:y:2017:i:8:id:7-2017-jfs
    DOI: 10.17221/7/2017-JFS
    as

    Download full text from publisher

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/7/2017-JFS.html
    Download Restriction: free of charge
    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/7/2017-JFS.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/7/2017-JFS?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    2. Martin Parry & Jean Palutikof & Clair Hanson & Jason Lowe, 2008. "Squaring up to reality," Nature Climate Change, Nature, vol. 1(806), pages 68-71, June.
    3. Hamed Adab & Kasturi Kanniah & Karim Solaimani, 2013. "Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1723-1743, February.
    Full references (including those not matched with items on IDEAS)

    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. Anuj Tiwari & Mohammad Shoab & Abhilasha Dixit, 2021. "GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1189-1230, January.
    2. Kai Zhou & Xiang Yuan & Ziyuan Guo & Jianrui Wu & Ruijia Li, 2024. "Research on Sustainable Port: Evaluation of Green Port Policies on China’s Coasts," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
    3. Nitidetch Koohathongsumrit & Pongchanun Luangpaiboon, 2022. "An integrated FAHP–ZODP approach for strategic marketing information system project selection," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1792-1809, September.
    4. Hsin-Chieh Wu & Toly Chen & Chin-Hau Huang, 2020. "A Piecewise Linear FGM Approach for Efficient and Accurate FAHP Analysis: Smart Backpack Design as an Example," Mathematics, MDPI, vol. 8(8), pages 1-18, August.
    5. Grošelj, Petra & Hodges, Donald G. & Zadnik Stirn, Lidija, 2016. "Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 80-86.
    6. Ruchita & Ravi Shankar, 2025. "An integrated approach for modelling barriers of EVsCI," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(1), pages 356-376, January.
    7. Weiliang Qiao & Yu Liu & Xiaoxue Ma & Yang Liu, 2020. "Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 957-980, May.
    8. Mohamed Hanine & Omar Boutkhoum & Abderrafie El Maknissi & Abdessadek Tikniouine & Tarik Agouti, 2016. "Decision making under uncertainty using PEES–fuzzy AHP–fuzzy TOPSIS methodology for landfill location selection," Environment Systems and Decisions, Springer, vol. 36(4), pages 351-367, December.
    9. Farzaneh Noroozi & Gholamabbas Ghanbarian & Roja Safaeian & Hamid Reza Pourghasemi, 2024. "Forest fire mapping: a comparison between GIS-based random forest and Bayesian models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(7), pages 6569-6592, May.
    10. Shruti Sachdeva & Tarunpreet Bhatia & A. K. Verma, 2018. "GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1399-1418, July.
    11. Željko Stević & Dragan Pamučar & Marko Subotić & Jurgita Antuchevičiene & Edmundas Kazimieras Zavadskas, 2018. "The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
    12. Wu, Xin & Nie, Lei & Xu, Meng, 2017. "Robust fuzzy quality function deployment based on the mean-end-chain concept: Service station evaluation problem for rail catering services," European Journal of Operational Research, Elsevier, vol. 263(3), pages 974-995.
    13. María Carmen Carnero & Andrés Gómez, 2019. "Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care," Sustainability, MDPI, vol. 11(10), pages 1-31, May.
    14. Liu, Shuang & Proctor, Wendy & Cook, David, 2010. "Using an integrated fuzzy set and deliberative multi-criteria evaluation approach to facilitate decision-making in invasive species management," Ecological Economics, Elsevier, vol. 69(12), pages 2374-2382, October.
    15. Yibin Zhang & Kevin W. Li & Zhou-Jing Wang, 2017. "Prioritization and Aggregation of Intuitionistic Preference Relations: A Multiplicative-Transitivity-Based Transformation from Intuitionistic Judgment Data to Priority Weights," Group Decision and Negotiation, Springer, vol. 26(2), pages 409-436, March.
    16. Dubois, Ghislain & Peeters, Paul & Ceron, Jean-Paul & Gössling, Stefan, 2011. "The future tourism mobility of the world population: Emission growth versus climate policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1031-1042.
    17. Calabrese, Armando & Costa, Roberta & Levialdi, Nathan & Menichini, Tamara, 2019. "Integrating sustainability into strategic decision-making: A fuzzy AHP method for the selection of relevant sustainability issues," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 155-168.
    18. Hamed Adab & Kasturi Devi Kanniah & Karim Solaimani, 2021. "Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 253-283, August.
    19. Yasser Ebrahimian Ghajari & Ali Asghar Alesheikh & Mahdi Modiri & Reza Hosnavi & Morteza Abbasi, 2017. "Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA," Sustainability, MDPI, vol. 9(7), pages 1-29, July.
    20. Agatha Oliveira & Rodrigo Calili & Maria Fatima Almeida & Manuel Sousa, 2019. "A Systemic and Contextual Framework to Define a Country’s 2030 Agenda from a Foresight Perspective," Sustainability, MDPI, vol. 11(22), pages 1-28, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:caa:jnljfs:v:63:y:2017:i:8:id:7-2017-jfs. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.