Fuzzy Inference System Architecture for Customer Satisfaction Service

Article Properties
Cite
Kwon, Hee-Chul, and Jung-Sang Yoo. “Fuzzy Inference System Architecture for Customer Satisfaction Service”. Journal of the Korea Society of Computer and Information, vol. 15, no. 1, 2010, pp. 219-26, https://doi.org/10.9708/jksci.2010.15.1.219.
Kwon, H.-C., & Yoo, J.-S. (2010). Fuzzy Inference System Architecture for Customer Satisfaction Service. Journal of the Korea Society of Computer and Information, 15(1), 219-226. https://doi.org/10.9708/jksci.2010.15.1.219
Kwon HC, Yoo JS. Fuzzy Inference System Architecture for Customer Satisfaction Service. Journal of the Korea Society of Computer and Information. 2010;15(1):219-26.
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2002
Fuzzy neural network in case-based diagnostic system IEEE Transactions on Fuzzy Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 25 1997
10.1243/09544070JAUTO366
Fuzzy Space Monitoring and Fault Detection Applications Journal of Decision Systems
  • Technology: Manufactures: Production management. Operations management
 9 2006
Citations
Title Journal Journal Categories Citations Publication Date
A Study on Efficient Vehicle Tracking System using Dynamic Programming Method Journal of Digital Convergence 2015
A Hybrid Inference System for Efficiently Controlling Reversible Lane Journal of the Korea Society of Computer and Information 2012
Design and Implementation of Fuzzy Agent Based On the Early Warning Method Journal of the Korea Society of Computer and Information 2011
Citations Analysis
The first research to cite this article was titled Design and Implementation of Fuzzy Agent Based On the Early Warning Method and was published in 2011. The most recent citation comes from a 2015 study titled A Study on Efficient Vehicle Tracking System using Dynamic Programming Method. This article reached its peak citation in 2015, with 1 citations. It has been cited in 2 different journals. Among related journals, the Journal of the Korea Society of Computer and Information cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year