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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) International Journal of Advances in Applied Sciences
Lazim Abdullah
Department of Mathematics faculty of Science and Technology University Malaysia Terengganu
Computer Science & IT Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Interval-valued Intuitionistic Fuzzy Weighted Entropy in Evaluation of Service Quality Lazim Abdullah; Hui Mei Ling
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 2, No 1: April 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.564 KB)

Abstract

The importance of measuring service quality perceived by customers is an issue since the service quality is a key to success in service oriented industry. The estimation of service quality should be carried out with suitable measurement scales according to the types of service provided. To the best of authors’ knowledge, there have been little discussion about the applications of interval-valued intuitionistic fuzzy sets- based evaluation in measuring service quality. This paper proposes an evaluation for service quality of five vehicle insurance companies using interval-valued intuitionistic fuzzy entropy measure. Linguistic data were collected from customers using a questionnaire. An averaged interval-valued intuitionistic fuzzy number is used to construct decision matrix.  Interval-valued intuitionistic fuzzy weighted averaging operator is used to aggregate the interval-valued intuitionistic fuzzy numbers for alternatives. It is found that PCF Insurance was evaluated as the best vehicle insurance company in providing service quality to customersDOI: http://dx.doi.org/10.11591/ij-ict.v2i1.1525
ARIMA Model for Gold Bullion Coin Selling Prices Forecasting Lazim Abdullah
International Journal of Advances in Applied Sciences Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.521 KB) | DOI: 10.11591/ijaas.v1.i4.pp153-158

Abstract

Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial market forecasting over the past three decades but not very often used to forecast gold prices.  This paper attempts to address the forecasting of gold bullion coin selling prices. The forecasting models ARIMAs are applied to forecast the gold bullion coin prices. The result suggests that ARIMA (2, 1, 2) is the most suitable model to be used for forecasting gold bullion coin prices. Closer examination suggests that the gold bullion coin selling prices are in upward trends and could be considered as a worthy investment.
Co-Authors Hui Mei Ling