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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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A decision support system to develop a quality management in academic digital libraries

TL;DR: A decision support system assisting the staff of the academic digital libraries to make decisions in order to meet the users' needs and, in such a way, to increase the number of users utilizing them.
Journal ArticleDOI

A novel aggregation method for Pythagorean fuzzy multiple attribute group decision making

TL;DR: The aim of this paper is to introduce a novel aggregation method for the Pythagorean fuzzy set and analyze possibilities for its application in solving multiple attribute decision‐making problems.
Proceedings ArticleDOI

Some interval-valued intuitionistic fuzzy geometric aggregation operators based on einstein operations

TL;DR: In this article, some interval-valued intuitionistic fuzzy geometric operators based on Einstein operations are developed, such as the interval- VALUE Einstein weighted geometric (IVIFWGε) operator, interval-VALUE Einstein ordered weighted geometric(IVIFOWG ε) operator and interval-VALUE Einstein hybrid geometric(ivIFHWGα) operator.
Journal ArticleDOI

Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply

TL;DR: In this article, a modification to the classic p-median problem that considers the spatial distribution of supply resources and competition for them by potential facility locations is proposed, where the modified algorithm is implemented using the Teitz and Bart search heuristic.
Journal ArticleDOI

OWA Operators in Regression Problems

TL;DR: This work replaces the standard least squares, least absolute deviation, and maximum likelihood criteria with an ordered weighted averaging (OWA) function of the residuals, and presents various approaches to numerical solution of such regression problems.