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On ordered weighted averaging aggregation operators in multicriteria decision-making

Ronald R. Yager
- Vol. 18, pp 183-190
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The article was published on 1988-01-01 and is currently open access. It has received 3030 citations till now. The article focuses on the topics: Ordered weighted averaging aggregation operator.

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Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis

TL;DR: This paper deals with Kansei evaluation focusing on consumers' psychological needs and personal taste, in which products are assessed according to Kansei attributes by means of the semantic differential method and linguistic variables.
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Evidential Reasoning Approach for Multiattribute Decision Analysis Under Both Fuzzy and Interval Uncertainty

TL;DR: In this newly developed fuzzy IER (FIER) approach, local ignorance and grade fuzziness are modeled under the integrated framework of a distributed fuzzy belief structure, leading to a fuzzy belief decision matrix.
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An operational method to supporting siting decisions for sustainable rural second home planning in ecotourism sites

TL;DR: This work presents a process to siting second home countryside in the study area, La Vera County, Spain and proposes a method to demonstrate the participatory attitude of local residents in the sustainable planning assessment.
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Composite Indicators for Security of Energy Supply Using Ordered Weighted Averaging

TL;DR: This paper proposes to use an aggregation rule derived from the Group Decision Theory, and based on the ranks of a set of individual indicators, for building a family of composite indicators for the security of energy supply, and studies the evolution in time of the countries' performances and the propagation of the uncertainties associated with the individual indicators to the composite.
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GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran

TL;DR: GIS-based ordered weighted averaging (OWA) is applied to landslide susceptibility mapping (LSM) for the Urmia Lake Basin in northwest Iran and how the landslide prediction map can be used for spatial planning tasks and for the mitigation of future hazards in the study area is discussed.