Evolving a hierarchical decision making mechanism using fuzzy logic

2008-12-01
In this study, a new hierarchical decision-making and decision-fusion mechanism is introduced for solving decision making problems in a consistent manner. This mechanism is constructed by using a genetic algorithm. The proposed mechanism employs fuzzy logic and a performance index determined based on the performance of decision-making agents at successive hierarchical levels. The mechanism is such that the decisions in previous levels are influential on the current level decisions according to the performance index introduced. This mechanism is tested on an artificial problem, namely finding the amount of faults in a four tank water system. Copyright © 2007 International Federation of Automatic Control All Rights Reserved.
17th World Congress, International Federation of Automatic Control, IFAC

Suggestions

Hierarchical decision making and decision fusion
Beldek, Ulas; Leblebicioğlu, Mehmet Kemal (2007-01-01)
In this study, a hierarchical decision making structure possessing a decision fusion technique is proposed in order to solve decision making problems efficiently. The proposed structure mainly depends on effects of the decisions made in the lower levels to decisions in the upper levels up to an activation degree. The proposed hierarchical structure is used for detecting the fault degrees for single and multiple fault scenarios artifically generated in a four tank system. The results obtained demonstrate the...
An Interactive partitioning approach for multiobjective decision making under a general monotone utility function
Karasakal, Esra (2013-09-01)
We develop an interactive partitioning approach for solving the multiobjective decision making problem of a decision maker (DM) who has an implicit general monotone utility function. The approach reduces feasible solution space using the DM's preferences. Hypothetical solutions called partition ideals (PIs) that dominate portions of the efficient frontier are generated and those that are inferior to a feasible solution are used to eliminate the dominated regions. We investigate the issues in representation ...
An Approach for determining process economy parameters of multivariate loss functions
Özkan, Gökçe; Köksal, Gülser; Department of Industrial Engineering (2016)
The aim of this study is to provide an effective method for determining parameters of multivariate loss functions, which are related with process economics. The loss functions are widely used in product and process design and other quality engineering applications. Although there are several studies about different types of loss functions, there is a lack of studies on determining cost matrix parameters of these functions. For this purpose, we propose a method based on multi-objective decision making tools....
A statistical unified framework for rank-based multiple classifier decision combination
Saranlı, Afşar (2001-04-01)
This study presents a theoretical investigation of the rank-based multiple classifier decision combination problem, with the aim of providing a unified framework to understand a variety of such systems. The combination of the decisions of more than one classifiers with the aim of improving overall system performance is a concept of general interest in pattern recognition, as a viable alternative to designing a single sophisticated classifier. The problem of combining the classifier decisions in the raw form...
Extending an outranking multiple criteria decision making method to differentiate gain and loss
Şentürk, Hazel; Karasakal, Esra; Karasakal, Orhan; Department of Industrial Engineering (2021-9-10)
In this study, the integration of Prospect Theory into ranking and sorting methods based on the dominance relations is studied. The well-known multi-criteria ranking method PROMETHEE and the well-known multi-criteria sorting method FlowSort are extended by using the prospect theory perspective. The proposed methods are used to rank and sort the alternatives in the case where the impact of losses is greater than gains for the same amount. When the results are compared with the PROMETHEE and FlowSort methods,...
Citation Formats
U. Beldek and M. K. Leblebicioğlu, “Evolving a hierarchical decision making mechanism using fuzzy logic,” Seoul, Güney Kore, 2008, vol. 17, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79961019530&origin=inward.