A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process

Wang, Ying‐Ming; Elhag, Taha; Hua, Zhongsheng

doi:10.1016/j.fss.2006.08.010

Cited by 205 publications

(99 citation statements)

References 18 publications

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“…The pairwise comparison matrices for each expert that met the consistency criterion were than aggregated by calculating a geometric mean for each element in the matrix (Saaty 2000). The detailed equations involved in AHP calculation are provided in Saaty (2000) and also in Wang et al (2006), Ying et al (2008), and Wu et al (2007).…”

Section: Weights Determination At Different Levels Of Hierarchymentioning

confidence: 99%

Fire risk evaluation using multicriteria analysis—a case study

Vadrevu

Eaturu

Badarinath

2009

Environ Monit Assess

160

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Forest fires are one of the major causes of ecological disturbance and environmental concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory integrated with decision-making algorithm in a Geographic Information Systems (GIS) framework to map forest fire risk. Fuzzy set theory implements classes or groupings of data with boundaries that are not sharply defined (i.e., fuzzy) and consists of a rule base, membership functions, and an inference procedure. We used satellite remote sensing datasets in conjunction with topographic, vegetation, climate, and socioeconomic datasets to infer the causative factors of fires. Spatial-level data on these biophysical and socioeconomic parameters have been aggregated at the district level and have been organized in a GIS framework. A participatory multicriteria decision-making approach involving Analytical Hierarchy Process has been designed to arrive at a decision matrix that identified the important causative factors of fires. These expert judgments were then integrated using spatial fuzzy decision-making algorithm to map the forest fire risk. Results from this study were quite useful in identifying potential "hotspots" of fire risk, where forest fire protection measures can be taken in advance. Further, this study also demonstrates the potential of multicriteria analysis integrated with GIS as an effective tool in assessing "where and when" forest fires will most likely occur.

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Section: Weights Determination At Different Levels Of Hierarchymentioning

confidence: 99%

Fire risk evaluation using multicriteria analysis—a case study

Vadrevu

Eaturu

Badarinath

2009

Environ Monit Assess

160

View full text Add to dashboard Cite

show abstract

“…In general, CR 0.1 was considered to be tolerable (Saaty & Vargas 1993). The detailed equations involved in AHP calculation have been provided in Saaty (2000) and also in Wang et al (2006), Wu et al (2007) and Ying et al (2008). Finally, the model (Index) of each major criterion was obtained based on fuzzy weights of its subcriteria.…”

Section: Fuzzy Ahp Methodsmentioning

confidence: 99%

Comparison of the fuzzy AHP method, the spatial correlation method, and the Dong model to predict the fire high-risk areas in Hyrcanian forests of Iran

Eskandari

Miesel

2017

Geomatics, Natural Hazards and Risk

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This study was done to evaluate the efficiency of three methods to predict the high-risk areas for fire in District Three of Neka Zalemroud forests located in Mazandaran Province, Iran. The fuzzy analytic hierarchy process (fuzzy AHP) and the spatial correlation method were used to model fire risk in the study area. The Dong model was used to provide the fire risk map. Following the construction of fire risk maps using three methods, the map of actual fires was overlaid to validate the used methods. Then the area of the high-risk and very high-risk classes of each fire risk map within the perimeters of actual fires was calculated. Results showed that the high-risk areas in the fire risk map prepared by the fuzzy AHP and spatial correlation methods closely follow the actual fires. On the other hand, the high-risk areas in the fire risk map prepared by the Dong model showed only a moderate agreement with actual fire areas. The final results showed that the fuzzy AHP model (accuracy 0.8) and the spatial correlation model (accuracy 0.92) have the strongest ability to predict the fire high-risk areas in Hyrcanian forests of Iran, relative to the Dong model (accuracy 0.51).

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“…FAHP is implemented in steps (Mentes, Helvacioglu 2012;Wang et al 2006). First, assign linguistic terms to pairwise comparisons by asking, which is the more important of each two dimensions, as in the following matrix A (Sun 2010 …”

Section: Fuzzy Ahpmentioning

confidence: 99%

Combination of Fuzzy-Ahp and Dematel-Anp With Gis in a New Hybrid McDm Model Used for the Selection of the Best Space for Leisure in a Blighted Urban Site

Ahmad

Hosseini

Banaitis

et al. 2015

Technological and Economic Development of Economy

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Abstract. Urban blight issues have transformed over time. Today, the focus is on the social context and such services as recreation and leisure. Considering that the insufficiency of leisure spaces in blighted urban neighbourhoods gives rise to social and cultural problems in Tehran, this research aims to identify the best leisure space in a blighted urban site. The selection process uses the combination of a new hybrid MCDM model and GIS. The integration of GIS and MCDM makes a powerful tool for the selection of the best leisure space in a site because GIS provides efficient manipulation, analysis and presentation of spatial data while MCDM supplies consistent weight of sub-criteria and criteria. The results show the interrelations between dimensions and criteria, also influential priorities and the most important sequences of those. Afterward, this study employs DANP to obtain the weight of each criterion and select a site for leisure using GIS, based on INRM from the DEMATEL method.Keywords: leisure space, urban blight, hybrid multiple criteria decision making (HMCDM), influential network relation map (INRM), geographic information system (GIS).JEL Classification: C02, C44, C61, C88, O18, O21, O35, R14.

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A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process

Cited by 205 publications

References 18 publications

Fire risk evaluation using multicriteria analysis—a case study

Fire risk evaluation using multicriteria analysis—a case study

Comparison of the fuzzy AHP method, the spatial correlation method, and the Dong model to predict the fire high-risk areas in Hyrcanian forests of Iran

Combination of Fuzzy-Ahp and Dematel-Anp With Gis in a New Hybrid McDm Model Used for the Selection of the Best Space for Leisure in a Blighted Urban Site

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