Journal of Intelligent Computing and Health Informatics (JICHI)
Vol 3, No 2 (2022): September

New Fuzzy ServQual Build with Three Types of Fuzzy Numbers

Wulandari, Ratri (Unknown)
sulistijanti, wellie (Unknown)



Article Info

Publish Date
23 Feb 2023

Abstract

Every community in the world desires optimal service quality that meets their expectations. To achieve this, it is essential to measure the level of public satisfaction with the quality of services provided by service providers. Fuzzy servqual is a method used to determine the level of service quality through survey data. The process involves calculating the value of fuzzification, defuzzification, and the GAP value between perception and expectation. This paper introduces a new approach to processing data by using three types of fuzzy numbers: shoulder fuzzy, triangle fuzzy, and trapezoidal fuzzy. The use of three types of fuzzy numbers yields different GAP calculation results compared to using only a triangular fuzzy. The results of this research show that the use of fuzzy number improvement during the fuzzyfication step leads to better GAP results with greater accuracy.

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Journal Info

Abbrev

ICHI

Publisher

Subject

Computer Science & IT Dentistry Electrical & Electronics Engineering Medicine & Pharmacology Public Health

Description

Journal of Intelligent Computing & Health Informatics (JICHI) was printed in March 2020. JICHI is a scientific review journal publishing that focus on exchanging information relating to intelligent computing and health informatics applied in industry, hospitals, government, and universities. All ...