Different methods, different wilds: Evaluating alternative mappings of wildness using fuzzy MCE and Dempster-Shafer MCE

被引：31

作者：

Comber, Alexis ^{[1
]}

Carver, Steve ^{[2
]}

Fritz, Steffen ^{[3
]}

McMorran, Robert ^{[4
]}

Washtell, Justin ^{[2
]}

Fisher, Peter ^{[1
]}

机构：

[1] Univ Leicester, Dept Geog, Leicester LE1 7RH, Leics, England

[2] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England

[3] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria

[4] Perth Coll UHI, Ctr Mt Studies, Perth PH1 2NX, Scotland

来源：

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS | 2010年 / 34卷 / 02期

关键词：

Uncertainty; Wildness; Fuzzy; Dempster-Shafer; Multi-criteria evaluation; MULTICRITERIA DECISION-ANALYSIS; ANALYTICAL HIERARCHY PROCESS; GIS; OPERATORS;

D O I：

10.1016/j.compenvurbsys.2009.10.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Different multi-criteria evaluation (MCE) approaches are applied to a fuzzy wildness mapping problem in Scotland. The result of fuzzy weighted linear combination and fuzzy order weighted averaging approaches are compared with the application of a Dempster-Shafer MCE. We discuss the implications of different approaches in light of decision making associated with suitability in a context where (i) suitability (wildness) may not be very well defined, (ii) the decision makers may not fully understand the informatics aspects associated with applying weights, but (iii) require decisions to be accountable and transparent. In such situations we suggest that the outputs of Dempster-Shafer MCE may be more appropriate than a fully fuzzy model of suitability. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：142 / 152

页数：11

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