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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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Aggregation operators for soft decision making in water resources

TL;DR: Methodology presented in this paper provides precise and consistent evaluation tool for many qualitative criteria and therefore enables a successful inclusion of these criteria into qualitative decision making model.
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Group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency

TL;DR: A new method for group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency is presented, which can overcome the drawback of the existing methods.
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Supply chain risk assessment during new product development: a group decision making approach using numeric and linguistic data

TL;DR: In this article, a step-by-step approach for supply chain risk assessment during new product development, involving group decision making, is suggested, which can use both numeric and linguistic data and helps in determining vulnerability scores for various sub-systems and for each supplier of the most vulnerable subsystem.
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Compatible weighting method with rank order centroid: Maximum entropy ordered weighted averaging approach

TL;DR: This paper aims to reinterpret the meaning of the ROC weights and to develop a compatible weighting method that is based on other well-established academic disciplines.
Journal ArticleDOI

Balancing multiple ecosystem services in conservation priority setting

TL;DR: Map the water supply, soil conservation, and net primary production as ESs in the Jiangxi province of China in the year 2010, and use risk, tradeoff, and spatial efficiency indices to measure the conservation efficiency of seven established ordered weighted averaging (OWA) scenarios under two conservation levels.