A fuzzy-group multicriteria decisionmaking model and its application to land-use planning

Xiang, W-N; Gross, Michael P.; Fábos, Julius Gy.; MacDougall, E B

doi:10.1068/b190061

Cited by 29 publications

(11 citation statements)

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“…Further extension work can be focused on the combination with fuzzy systems theory and welfare economics in such an application. Therefore, a fuzzy multiobjective linear or mixed integer programming model with adequate value functions related to various water consumptions could be an advanced tool in solving future water resource problems in developing countries (Wright et al, 1983;Xiang et al, 1992). Further, the modeling efforts can be combined with a geographical information system (GIS) to help decision makers evaluate the socio-economic and ecological impacts of various planning scenarios in the framework of a decision support system (DSS) (Stansbury et al, 1991).…”

Section: Discussionmentioning

confidence: 99%

Optimal Management of Environmental and Land Resources in a Reservoir Watershed by Multiobjective Programming

Chang

Wen

1995

Journal of Environmental Management

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Section: Discussionmentioning

confidence: 99%

Optimal Management of Environmental and Land Resources in a Reservoir Watershed by Multiobjective Programming

Chang

Wen

1995

Journal of Environmental Management

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“…Thirdly, structural constraints were noted when the existing urban structure limited further development such as when increased population made the construction of a new public transport system necessary (Simpson 1977: 79 (Cash 1994). Multicriteria analysis has been used to good effect in conjunction with GIS and decisionsupport systems in land use planning (Teghem, Delhaye & Kunsch 1989;Carver 1991;Xiong, Gross, Fabos & MacDougall 1992;Whitley, Xiong & Young 1994;Malczewski & Ogryczak 1996).…”

Section: Threshold Analysismentioning

confidence: 99%

“…The strengths of multicriteria evaluation identified by Voogd ( 1984: 32) A more sophisticated method of weighting which accounts for fuzziness in addition to multicriteria and multiparticipants has been demonstrated in a land use planing application (Xiong, Gross, Fabos & MacDougall 1992}. Fuzziness implies the distinct ability of humans to make descriptions and judgements based on fuzzy logic which is an extension of conventional two-valued and multivalued logics.…”

Section: Threshold Analysismentioning

confidence: 99%

An Infrastructure Potential Cost Model for Integrated Land Use and Infrastructure Planning

Biermann¹

2003

Planning Support Systems in Practice

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IX GIS buffering analysis GPMC open space network Agricultural Research Institute Council for GeoScience CSIR Valuation roles from metropolitan sub-structures Extrapolation using GIS Water Systems Master Plan-GPMC Strategic Metropolitan Development Framework (1996)-GPMC Metropolitan substructures Strategic Metropolitan Development Framework (1996)-GPMC Pretoria City Council Electricity Department 7.3 Criteria measurement 7 .3.1 Access to employment opportunities An accessibility index was derived for each traffic zone in the study area, based on the transportation cost of accessing all major formal employment areas, weighted by the Water Research Commision 1994a. Wafer and sanitation in urban areas: financial and institutional review. WRC Report no. 571/6/94. Water Research Commission 1994b. An investment-tariff model for urban water supply. Working Paper 15.

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“…These include Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) (Malczewski 1999). The fuzzy methods are able to address and explore the uncertainties associated with land resources, especially if they are integrated with fuzzy set models (Xiang et al 1992, Ceballos-Silva and Lopez-Blanco 2003, Prakash 2003, Duc 2006, Moreno 2007, Chaddad et al 2009, Chuong 2008. However fuzzy MCDA methods are still relatively unknown in land suitability evaluations for agricultural crops.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Fuzzy AHP and Ideal Point Methods for Evaluating Land Suitability

Elaalem¹,

Comber²,

Fisher³

2011

Transactions in GIS

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This article compares two fuzzy approaches to land suitability evaluations, Analytical Hierarchy Process (AHP) and Ideal Point. The methods were evaluated using a case study which models the opportunities for wheat production under irrigation conditions in the north‐western region of Jeffara Plain, Libya. A number of relevant soil and landscape criteria were identified through a review of the literature and their weights specified as a result of discussions with local experts. The results of the Fuzzy AHP showed that the majority of the study area has membership values to the set of suitability between 0.40 and 0.50, while the results of the Ideal Point approach revealed most of the study area to have membership values between 0.30 and 0.40. While the Fuzzy AHP and Ideal Point approaches accommodate the continuous nature of many soil properties and produce more intuitive distributions of land suitabilities values, the Fuzzy AHP approach was found to be better than Fuzzy Ideal Point. This was due to the latter's tendency to be biased towards positive and negative ideal values.

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A fuzzy-group multicriteria decisionmaking model and its application to land-use planning

Cited by 29 publications

References 0 publications

Optimal Management of Environmental and Land Resources in a Reservoir Watershed by Multiobjective Programming

Optimal Management of Environmental and Land Resources in a Reservoir Watershed by Multiobjective Programming

An Infrastructure Potential Cost Model for Integrated Land Use and Infrastructure Planning

A Comparison of Fuzzy AHP and Ideal Point Methods for Evaluating Land Suitability

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