Title :
Satisfaction assessment and analysis for power customer based on interval type-2 fuzzy sets
Author :
Fan Peng ; Hong Mo ; Dan Tan ; Yuchen Ouyang
Author_Institution :
Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
In the paper, the customer satisfaction index for power system is measured based on the characteristics of the power supply service quality. For the uncertainty of assessment, interval type-2 fuzzy set (IT2FS) is applied to evaluate it. The model of improving the power customer satisfaction is built and the corresponding linguistic dynamic orbits are given. In addition, the feasibility and effectiveness of the method is validated by an example.
Keywords :
customer satisfaction; electricity supply industry; fuzzy set theory; power markets; IT2FS; interval type-2 fuzzy sets; linguistic dynamic orbits; power customer satisfaction index; power supply service quality; power system; satisfaction assessment; Customer satisfaction; Educational institutions; Fuzzy sets; Power system dynamics; Pragmatics; Q measurement; Power customer satisfaction; interval type-2 fuzzy set; linguistic dynamic orbits;
Conference_Titel :
Informative and Cybernetics for Computational Social Systems (ICCSS), 2014 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-4753-9
DOI :
10.1109/ICCSS.2014.6961806
