• Corpus ID: 7554606

CRM performance analysis using the concept of genetic fuzzimetric technique

@inproceedings{Kouatli2017CRMPA,
  title={CRM performance analysis using the concept of genetic fuzzimetric technique},
  author={Issam M. Kouatli},
  year={2017}
}

• I. Kouatli
• Published 15 November 2017
• Computer Science

Fuzzy logic and Genetic Algorithm combination is becoming popular intelligent technique among researchers to investigate the decision making process in different application fields. This paper proposes a methodology of performance analysis of CRM systems based on such hybridization of fuzzy logic and genetic Algorithm. The technique is referred to as Genetic Fuzzimetric Technique. It is based on a concept of Fuzzimetric Arcs that defines the initial selections of fuzzy sets and allowing the mutation and cross-over of sets using Genetic algorithm principles and hence optimizing the output. CRM –performance analysis was used as an example to explain the operation of GFT where the objective was to monitor the performance level of CRM. Based on GFT principle, a tool was built to demonstrate the mechanism of GFT to CRM performance analysis example.