Review
Version 1
Preserved in Portico This version is not peer-reviewed
Some Construction Methods of Aggregation Operators in Decision Making Problems: An Overview
Version 1
: Received: 31 January 2020 / Approved: 31 January 2020 / Online: 31 January 2020 (13:57:17 CET)
A peer-reviewed article of this Preprint also exists.
Zahedi Khameneh, A.; Kilicman, A. Some Construction Methods of Aggregation Operators in Decision-Making Problems: An Overview. Symmetry 2020, 12, 694. Zahedi Khameneh, A.; Kilicman, A. Some Construction Methods of Aggregation Operators in Decision-Making Problems: An Overview. Symmetry 2020, 12, 694.
Abstract
Aggregating data is the main line of any discipline dealing with fusion of information from the knowledge-based systems to the decision-making. The purpose of aggregation methods is to convert a list of objects, all belonging to a given set, into a single representative object of the same set usually by an n-ary function, so-called aggregation operator. Since the useful aggregation functions for modeling real-life problems are limit, the basic problem is to construct a proper aggregation operator for each situation. During the last decades, a number of construction methods for aggregation functions have been developed to build new classes based on the well-known operators. This paper reviews some of these construction methods where they are based on transformation, composition and weighted rule.
Keywords
aggregation operators; composite aggregation operators; weighted aggregation operators; transformation; duality; group decision making
Subject
Computer Science and Mathematics, Information Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment