Fuzzy AHP for forest fire risk modeling
20 Apr 2012-Disaster Prevention and Management (Emerald Group Publishing Limited)-Vol. 21, Iss: 2, pp 160-171
TL;DR: In this paper, the authors proposed a methodology paradigm applied based on knowledge-based and analytic hierarchy process (AHP) techniques for risk assessment of forest fire risk zones, and the assignment of value given to equation is significant due to its importance.
Abstract: Purpose – The purpose of study is linked to management and policy‐making strategies, such as forest management, land use planning and sustainable management of natural resources It aims to help prevent forest fire by taking precautions It also aims to be helpful for authorities coping during the event of occurrence of fireDesign/methodology/approach – The methodology paradigm applied here is based on knowledge‐based and analytic hierarchy process (AHP) techniques Knowledge‐based criteria involve topographic and different themes for risk assessment The assignment of value given to equation is significant due to its importanceFindings – Results are in strong agreement with actual fire occurrences in the past years The risk zones are identified according to past occurrence of fire The gradients of low‐ to high‐risk zones are according to fuel, topographic features and weather conditions Direction and aspect value were taken accordinglyOriginality/value – The paper presents forest fire risk zones de
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TL;DR: In this article, a risk assessment study has been conducted in a large manufacturing company in which the hazards were determined based on experience, and the past 10 years' statistical records were categorized and each category has been prioritized using the Analytical Hierarchy Process (AHP) method.
173 citations
Cites methods from "Fuzzy AHP for forest fire risk mode..."
...…the fuzzy AHP approach has been selected in several studies (Dagdeviren and Yuksel, 2008; Lavasani et al., 2011; Zhang and Zhong, 2011; Sofyalıoglu and Kartal, 2012; Zheng et al., 2012; Shi et al., 2012; Kant Sharma et al., 2012; Bao-Chun et al., 2013; Ganguly and Guin, 2013; Gao et al., 2014)....
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...Due to this property of the risk assessment methods, the fuzzy AHP approach has been selected in several studies (Dagdeviren and Yuksel, 2008; Lavasani et al., 2011; Zhang and Zhong, 2011; Sofyalıoglu and Kartal, 2012; Zheng et al., 2012; Shi et al., 2012; Kant Sharma et al., 2012; Bao-Chun et al., 2013; Ganguly and Guin, 2013; Gao et al., 2014)....
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TL;DR: In this article, the authors present a new spatial decision support tool called PALM (Potential Allocation of urban development areas for sustainable Land Management) aimed at supporting the allocation of Urban development zones.
168 citations
TL;DR: Based on the review presented here, the development of models for the use in planning processes should focus on participatory modeling and the consideration of uncertainty regarding available information.
Abstract: Multi-criteria decision analysis (MCDA) is a decision aid frequently used in the field of forest management planning. It includes the evaluation of multiple criteria such as the production of timber and non-timber forest products and tangible as well as intangible values of ecosystem services (ES). Hence, it is beneficial compared to those methods that take a purely financial perspective. Accordingly, MCDA methods are increasingly popular in the wide field of sustainability assessment. Hybrid approaches allow aggregating MCDA and, potentially, other decision-making techniques to make use of their individual benefits and leading to a more holistic view of the actual consequences that come with certain decisions. This review is providing a comprehensive overview of hybrid approaches that are used in forest management planning. Today, the scientific world is facing increasing challenges regarding the evaluation of ES and the trade-offs between them, for example between provisioning and regulating services. As the preferences of multiple stakeholders are essential to improve the decision process in multi-purpose forestry, participatory and hybrid approaches turn out to be of particular importance. Accordingly, hybrid methods show great potential for becoming most relevant in future decision making. Based on the review presented here, the development of models for the use in planning processes should focus on participatory modeling and the consideration of uncertainty regarding available information.
101 citations
Cites background or methods from "Fuzzy AHP for forest fire risk mode..."
...Sharma et al. (2012) combined forest fire risk modeling with AHP to include actual fire occurrences into the decision process....
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...GIS, fuzzy AHP Designing of forest fire risk zones on knowledgebased information X X (Sharma et al. 2012)...
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TL;DR: The Hybrid method can be applied to early warning, fire suppression resources planning, and allocation work in the study area and will serve as guidelines for researchers and scientists by introducing new and robust MCDA methods.
Abstract: This research investigates the efficiency of combining the Analytical Network Process (ANP) and fuzzy logic for developing a fire risk map. Major factors influencing the occurrence of forest fires ...
87 citations
18 Mar 2020
TL;DR: In this paper, the authors introduce an approach based on random forests, allowing elaborating a wildfire susceptibility map for the Liguria region in Italy, which is highly affected by wildfires due to the dense and heterogeneous vegetation, with more than 70% of its surface covered by forests.
Abstract: Wildfire susceptibility maps display the spatial probability of an area to burn in the future, based solely on the intrinsic local proprieties of a site. Current studies in this field often rely on statistical models, often improved by expert knowledge for data retrieving and processing. In the last few years, machine learning algorithms have proven to be successful in this domain, thanks to their capability of learning from data through the modeling of hidden relationships. In the present study, authors introduce an approach based on random forests, allowing elaborating a wildfire susceptibility map for the Liguria region in Italy. This region is highly affected by wildfires due to the dense and heterogeneous vegetation, with more than 70% of its surface covered by forests, and due to the favorable climatic conditions. Susceptibility was assessed by considering the dataset of the mapped fire perimeters, spanning a 21-year period (1997–2017) and different geo-environmental predisposing factors (i.e., land cover, vegetation type, road network, altitude, and derivatives). One main objective was to compare different models in order to evaluate the effect of: (i) including or excluding the neighboring vegetation type as additional predisposing factors and (ii) using an increasing number of folds in the spatial-cross validation procedure. Susceptibility maps for the two fire seasons were finally elaborated and validated. Results highlighted the capacity of the proposed approach to identify areas that could be affected by wildfires in the near future, as well as its goodness in assessing the efficiency of fire-fighting activities.
65 citations
References
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01 Aug 1996
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Abstract: A fuzzy set is a class of objects with a continuum of grades of membership. Such a set is characterized by a membership (characteristic) function which assigns to each object a grade of membership ranging between zero and one. The notions of inclusion, union, intersection, complement, relation, convexity, etc., are extended to such sets, and various properties of these notions in the context of fuzzy sets are established. In particular, a separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
52,705 citations
01 Jan 1985
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Abstract: This chapter provides an overview of Analytic Hierarchy Process (AHP), which is a systematic procedure for representing the elements of any problem hierarchically. It organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pair-wise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy. These judgments are then translated to numbers. The AHP includes procedures and principles used to synthesize the many judgments to derive priorities among criteria and subsequently for alternative solutions. It is useful to note that the numbers thus obtained are ratio scale estimates and correspond to so-called hard numbers. Problem solving is a process of setting priorities in steps. One step decides on the most important elements of a problem, another on how best to repair, replace, test, and evaluate the elements, and another on how to implement the solution and measure performance.
16,547 citations
01 Jan 1999
TL;DR: A new method of finding the fuzzy weights in fuzzy hierarchical analysis which is the direct fuzzification of the original method used by Saaty (1980) in the analytic hierarchy process is presented.
Abstract: We present a new method of finding the fuzzy weights in fuzzy hierarchical analysis which is the direct fuzzification of the original method used by Saaty (1980) in the analytic hierarchy process. We test our new procedure in two cases where there are formulas for the crisp weights. An example is presented where there are five criteria and three alternatives.
2,789 citations
TL;DR: A literature review of the applications of Analytic Hierarchy Process, which aims to provide a ready reference on AHP, and act as an informative summary kit for the researchers and practitioners for their future work.
2,717 citations
TL;DR: In this article, a climatic series (1941 to 1994) from a Mediterranean locality of NE Spain was used to calculate two wildfire hazard indices based on daily meteorological data, as a consequence of increasing mean daily maximum temperature and decreasing minimum daily relative humidity.
Abstract: A climatic series (1941 to 1994) from a Mediterranean locality of NE Spain was used to calculate two wildfire hazard indices based on daily meteorological data. Both fire hazard indices increased over this period, as a consequence of increasing mean daily maximum temperature and decreasing minimum daily relative humidity. These trends were observed in both mean values of the indices and in the number of very high risk days. Annual data on the number of wildfires and burned area also show an increase from 1968 to 1994, and are significantly correlated with both fire hazard indices. Although other non-meteorological causes (e.g., human activities, fuel accumulation) have likely contributed to the observed increase of wildfires, an effect of climatic warming on wildfire occurrence is supported by this relationship.
629 citations