Application of fuzzy measures in multi-criteria evaluation in GIS

Hong, Jiang; Eastman, J. Ronald

doi:10.1080/136588100240903

Cited by 592 publications

(375 citation statements)

References 15 publications

Supporting

Mentioning

329

Contrasting

Unclassified

Order By: Relevance

“…Very popular decision rules are those based upon additive aggregation, using criteria weights to give emphasis to more important criteria. The decision rules chosen for implementation in the mDSS software are (i) Simple Additive Weighting (SAW); (ii) Order Weighting Average (OWA) (Jiang and Eastman, 2000); (iii) the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) (Hwang and K., 1981); and (v) ELECTRE Bella et al, 1996;Figueira et al, 2005;Mahmoud and Garcia, 2000;Salminen et al, 1998;van Huylenbroeck, 1995. SAW is the most popular decision method because of its simplicity. It assumes additive aggregation of decision outcomes, which is controlled by weights expressing the criteria importance.…”

Section: Analysis Of Optionsmentioning

confidence: 99%

See 1 more Smart Citation

Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach

et al. 2006

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SummaryThis paper presents the NetSyMoD approach -where NetSyMod stands for Network Analysis -Creative System Modelling -Decision Support. It represents the outcome of several years of research at FEEM in the field of natural resources management, environmental evaluation and decision-making, within the Natural Resources Management Research Programme. NetSyMoD is a flexible and comprehensive methodological framework, which uses a suite of support tools, aimed at facilitating the involvement of stakeholders or experts in decision-making processes. The main phases envisaged for the process are: (i) the identification of relevant actors, (ii) the analysis of social networks, (iii) the creative system modelling and modelling of the reality being considered (i.e. the local socio-economic and environmental system), and (iv) the analysis of alternative options available for the management of the specific case (e.g. alternative projects, plans, strategies). The strategies for participation are necessarily context-dependent, and thus not all the NetSyMod phases may be needed in every application. Furthermore, the practical solutions for their implementation may significantly differ from one case to another, depending not only on the context, but also on the available resources (human and financial). The various applications of NetSyMoD have nonetheless in common the same approach for problem analysis and communication within a group of actors, based upon the use of creative thinking techniques, the formalisation of human-environment relationships through the DPSIR framework, and the use of multi-criteria analysis through the mDSS software.

show abstract

Section: Analysis Of Optionsmentioning

confidence: 99%

“…Order-weighted averaging (OWA) (Jiang and Eastman, 2000;Yagers, 1999) Value-oriented decision rule developed originally as a fuzzy aggregation operator. It provides continuous fuzzy aggregation operations between the fuzzy intersection and union, with weighted linear combination falling midway in between.…”

Section: Analysis Of Optionsmentioning

confidence: 99%

Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach

et al. 2006

View full text Add to dashboard Cite

show abstract

“…Multi criteria decision analysis encompasses three vital elements including 1) a number of alternatives 2) a number of criteria 3) alternatives' scores based on different criteria (attribute values) (Jiang & Eastman, 2000). In group multi criteria decision analysis, where more than one expert is applied, score of each alternative based on each expert is added to the three elements.…”

Section: Gis-based Multi Criteria Decision Analysismentioning

confidence: 99%

A Novel Approach to Support Majority Voting in Spatial Group McDm Using Density Induced Owa Operator for Seismic Vulnerability Assessment

Moradi

Delavar

Moshiri

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Being one of the most frightening disasters, earthquakes frequently cause huge damages to buildings, facilities and human beings. Although the prediction of characteristics of an earthquake seems to be impossible, its loss and damage is predictable in advance. Seismic loss estimation models tend to evaluate the extent to which the urban areas are vulnerable to earthquakes. Many factors contribute to the vulnerability of urban areas against earthquakes including age and height of buildings, the quality of the materials, the density of population and the location of flammable facilities. Therefore, seismic vulnerability assessment is a multi-criteria problem. A number of multi criteria decision making models have been proposed based on a single expert. The main objective of this paper is to propose a model which facilitates group multi criteria decision making based on the concept of majority voting. The main idea of majority voting is providing a computational tool to measure the degree to which different experts support each other's opinions and make a decision regarding this measure. The applicability of this model is examined in Tehran metropolitan area which is located in a seismically active region. The results indicate that neglecting the experts which get lower degrees of support from others enables the decision makers to avoid the extreme strategies. Moreover, a computational method is proposed to calculate the degree of optimism in the experts' opinions.

show abstract

“…The number of order weights is equal to the number of criteria and must sum to one. The position of a set of order weights can be identified in a decision strategy space, based on the concepts of trade-off and risk (YAGER 1988, JIANG & EASTMAN 2000. Trade-off indicates the degree to which a low standardized value on one layer can be compensated for by a high standardized value on other considered criteria.…”

Section: Producing Fsa Map Based On Ordered Weighted Averagingmentioning

confidence: 99%

“…Trade-off indicates the degree to which a low standardized value on one layer can be compensated for by a high standardized value on other considered criteria. Risk refers to how much each criterion affects the final solution (JIANG & EASTMAN 2000, MALCZEWSKI 2006, ROBINSON et al 2010, 2014.…”

Section: Producing Fsa Map Based On Ordered Weighted Averagingmentioning

confidence: 99%

Food Security Assessment Based on GIS Spatial Analysis in the Rural Area of East Azerbaijan Province, Iran

Feizizadeh¹,

Pourmoradian²,

Pourmoradian³

2015

giforum

View full text Add to dashboard Cite

GIS is an exploration tool into the use of spatial reasoning methods, to identify regions at risk, due to inadequate food and water resources, which are a result of inherent environmental scarcity. The purpose of this study is to lay an evidentiary foundation to assess food security in rural area of East Azerbaijan Province. We estimate vulnerability of food availability by approximating local food supply. Food availability was estimated by determining local supply through agricultural and industrial activities. For this to happen, relevant criteria were considered for food security assessment, and GIS multi-criteria analysis was employed for producing food security maps. Based on the obtained food security map, very high and highly secure zones include 544 villages (22.15% of rural area), while 1,905 villages (57% of rural area) were classified as being in insecure zones. The results of this research are of great importance to decision makers, and, in particular, to government departments such as the Ministry of Agriculture, the Ministry of Water Resource Management, and the Ministry of Natural Resources for the East Azerbaijan Province of Iran.

show abstract

Application of fuzzy measures in multi-criteria evaluation in GIS

Cited by 592 publications

References 15 publications

Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach

Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach

A Novel Approach to Support Majority Voting in Spatial Group McDm Using Density Induced Owa Operator for Seismic Vulnerability Assessment

Food Security Assessment Based on GIS Spatial Analysis in the Rural Area of East Azerbaijan Province, Iran

Contact Info

Product

Resources

About