Journal ArticleDOI
The induced continuous ordered weighted geometric operators and their application in group decision making
TLDR
The aim of this paper is to develop some induced continuous ordered weighted geometric (ICOWG) operators that apply the ordering of the argument values based upon the reliability of the information sources; and the relative consensus degree induced COWG (RCD-ICowG) operator.About:
This article is published in Computers & Industrial Engineering.The article was published on 2009-05-01. It has received 118 citations till now. The article focuses on the topics: Ordered weighted averaging aggregation operator & Operator (computer programming).read more
Citations
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Journal ArticleDOI
Decision-making with distance measures and induced aggregation operators
TL;DR: The induced ordered weighted averaging distance (IOWAD) operator is a new aggregation operator that extends the OWA operator by using distance measures and a reordering of arguments that depends on order-inducing variables.
Journal ArticleDOI
A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations
TL;DR: A social network analysis (SNA) trust-consensus based group decision making model with interval-valued fuzzy reciprocal preference relation (IFRPR) with main novelty is that it determines the importance degree of experts by combining two reliable resources: trust degree (TD) and consensus level (CL).
Journal ArticleDOI
Fuzzy decision making with immediate probabilities
TL;DR: A new decision-making model with probabilistic information was developed and used the concept of the immediate probability to aggregate the information, which modifies the objective probability by introducing the attitudinal character of the decision maker using the ordered weighting average (OWA) operator.
Journal ArticleDOI
Ordered Weighted Averaging Operators 1988-2014: A Citation-Based Literature Survey
Ali Emrouznejad,Marianna Marra +1 more
TL;DR: The main goals are the historical reconstruction of scientific development of the OWA field, the identification of the dominant direction of knowledge accumulation that emerged since the publication of the first OWA paper, and to discover the most active lines of research.
Journal ArticleDOI
A unified model between the weighted average and the induced OWA operator
TL;DR: A new model that uses the weighted average (WA) and the induced ordered weighted averaging-weighted average (IOWA) operator in the same formulation is presented and it is seen that it can be applied in a wide range of fields such as statistics, economics, decision theory and engineering.
References
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Book ChapterDOI
The Analytic Hierarchy Process
Thomas L. Saaty,Kevin P. Kearns +1 more
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Journal ArticleDOI
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
TL;DR: A type of operator for aggregation called an ordered weighted aggregation (OWA) operator is introduced and its performance is found to be between those obtained using the AND operator and the OR operator.
Journal ArticleDOI
Induced ordered weighted averaging operators
TL;DR: A more general type of OWA operator called the Induced Ordered Weighted Averaging (IOWA) Operator is introduced, in which one component is used to induce an ordering over the second components which are then aggregated.
Book
The Ordered Weighted Averaging Operators: Theory and Applications
Ronald R. Yager,Janusz Kacprzyk +1 more
TL;DR: This volume is the first in the literature on the increasingly popular Ordered Weighted Averaging (OWA) operators, making it possible to change the form of aggregation from the `pessimistic' minimum-type aggregation through all intermediate types, to the `optimistic' maximum-type aggregations.