Dependent uncertain ordered weighted aggregation operators

Authors:
Zeshui Xu
Affiliations:
Department of Management Science and Engineering, School of Economics and Management, Tsinghua University, Beijing 100084, China
Venue:
Information Fusion
Year:
2008

Citing 12
Cited 13

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Families of OWA operators

Fuzzy Sets and Systems
The ordered weighted averaging operators: theory and applications

The ordered weighted averaging operators: theory and applications
On the issue of obtaining OWA operator weights

Fuzzy Sets and Systems
Information Fusion in Data Mining

Information Fusion in Data Mining
On Compatibility of Interval Fuzzy Preference Relations

Fuzzy Optimization and Decision Making
An overview of methods for determining OWA weights: Research Articles

International Journal of Intelligent Systems
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)

Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
The uncertain OWA aggregation with weighting functions having a constant level of orness: Research Articles

International Journal of Intelligent Systems
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and ...

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and ...
Dependent OWA operators

MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
Induced ordered weighted averaging operators

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

New decision-making techniques and their application in the selection of financial products

Information Sciences: an International Journal
Dependent uncertain linguistic OWA operator

RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
An extended TOPSIS for determining weights of decision makers with interval numbers

Knowledge-Based Systems
Induced aggregation operators in the Euclidean distance and its application in financial decision making

Expert Systems with Applications: An International Journal
Uncertain generalized aggregation operators

Expert Systems with Applications: An International Journal
A generalization of the power aggregation operators for linguistic environment and its application in group decision making

Knowledge-Based Systems
Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making

Expert Systems with Applications: An International Journal
Extension of TOPSIS to determine weight of decision maker for group decision making problems with uncertain information

Expert Systems with Applications: An International Journal
Generalized power aggregation operators and their applications in group decision making

Computers and Industrial Engineering
Some generalized dependent aggregation operators with intuitionistic linguistic numbers and their application to group decision making

Journal of Computer and System Sciences
Group decision making based on induced uncertain linguistic OWA operators

Decision Support Systems
Group decision making with multi-attribute interval data

Information Fusion
Induced generalized hesitant fuzzy operators and their application to multiple attribute group decision making

Computers and Industrial Engineering

Quantified Score

Hi-index	0.01

Visualization

Abstract

Xu and Da [Z.S. Xu, Q.L. Da, The uncertain OWA operator, International Journal of Intelligent Systems, 17 (2002) 569-575] introduced the uncertain ordered weighted averaging (UOWA) operator to aggregate the input arguments taking the form of intervals rather than exact numbers. In this paper, we develop some dependent uncertain ordered weighted aggregation operators, including dependent uncertain ordered weighted averaging (DUOWA) operators and dependent uncertain ordered weighted geometric (DUOWG) operators, in which the associated weights only depend on the aggregated interval arguments and can relieve the influence of unfair interval arguments on the aggregated results by assigning low weights to those ''false'' and ''biased'' ones.