Aggregating preference rankings using OWA operator weights
From MaRDI portal
Publication:2372230
DOI10.1016/j.ins.2007.01.008zbMath1301.91012OpenAlexW2024843650MaRDI QIDQ2372230
Ying-Ming Wang, Zhongsheng Hua, Ying Luo
Publication date: 25 July 2007
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2007.01.008
Related Items (18)
A review of ranking models in data envelopment analysis ⋮ Novel optimistic and pessimistic family of Owa operator with constant orness ⋮ Ranking sustainable suppliers by context-dependent data envelopment analysis ⋮ Models to determine parameterized ordered weighted averaging operators using optimization criteria ⋮ Parametric aggregation in ordered weighted averaging ⋮ Improved minimax disparity model for obtaining OWA operator weights: issue of multiple solutions ⋮ THE UNCERTAIN GENERALIZED OWA OPERATOR AND ITS APPLICATION TO FINANCIAL DECISION MAKING ⋮ Weighted aggregation operators based on minimization ⋮ On ordered weighted averaging social optima ⋮ Some properties and representation methods for ordered weighted averaging operators ⋮ LINGUISTIC AGGREGATION OPERATORS FOR LINGUISTIC DECISION MAKING BASED ON THE DEMPSTER-SHAFER THEORY OF EVIDENCE ⋮ Discrete and continuous recursive forms of OWA operators ⋮ Improving minimax disparity model to determine the OWA operator weights ⋮ Application of prioritized aggregation operators in preference voting ⋮ Parameterized defuzzification with continuous weighted quasi-arithmetic means -- an extension ⋮ The induced generalized OWA operator ⋮ Some remarks on the LSOWA approach for obtaining OWA operator weights ⋮ Aggregating preferences rankings with variable weights
Cites Work
- The appropriate total ranking method using DEA for multiple categorized purposes
- The solution equivalence of minimax disparity and minimum variance problems for OWA operators
- Preference voting and project ranking using DEA and cross-evaluation
- A ranked voting system using a DEA/AR exclusion model: A note
- A method for discriminating efficient candidates with ranked voting data.
- A selection method for a preferential election
- On obtaining minimal variability OWA operator weights.
- On the properties of equidifferent OWA operator
- A minimax disparity approach for obtaining OWA operator weights
- A Data Envelopment Model for Aggregating Preference Rankings
- Three new models for preference voting and aggregation
- On ordered weighted averaging aggregation operators in multicriteria decisionmaking
This page was built for publication: Aggregating preference rankings using OWA operator weights
