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Multi-criteria Decision Making Using Genetic Algorithmic Approach in Computer Simulation Models
Chandrashekhar Meshram,Shyam Sundar Agrawal 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.6
In this paper, we described a genetic algorithm that allows finding the optimal configuration for a stochastic discrete events simulator when multiple performance measures have to be considered simultaneously. This type of algorithmic approach provide particularly interesting when the decision making authority is shared by multiple decision makers with conflicting priorities. The optimal solutions found with this algorithm typically represent a middle ground solution that may be acceptable to all the involved parties. The multi-criteria approach relies on an interval based variant of the Promethee method, which is combined with a feasibility score to obtain the ranking of the chromosomes within a certain generation of the genetic algorithm.
An Efficient Neuro-Fuzzy-Genetics Approach for Multi Criteria Decision Making
handrasekhar Mesh ram,Shyam Sundar Agrawal 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.5
The present paper, we applied combined neural network, fuzzy logic and genetics algorithm approach to multi criteria decision-making in different areas. The paper begins with introduction and literature review followed by some fundamental of fuzzy set theory, neural network and genetics algorithm and methodology to apply them in multi criteria decision-making, which provides a better level of satisfaction to obtain the better decision.