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Journal of Information and Communication Technology (JICT) Vol. 2, No. 2 Dec 2003

MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING
Pandian M Vasant
Nilai International College, Malaysia
 
ABSTRACT FULL TEXT
The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper, the modified S-curve membership function and its methodology in solving real life problems are discussed. In the second part of the paper, the computation of fuzzy linear programming approach is made. Lastly, the usefulness of the modified S-curve membership function is established using a real life industrial production planning of a chocolate manufacturing unit. The unit produces 8 products using 8 raw materials, mix in various proportions by 9 different processes under 29 constraints. A solution to this problem is achieved, thus establishing the usefulness of the suggested membership function for decision making in maximizing objective function. From the theory and numerical results, it can be seen that the method presented here for solving a system of fuzzy mix product selection problem with modified S-curve membership function is very promising.
 
Keywords: Fuzzy linear programming, satisfactory solution, decision maker, modified s-curve, vagueness.
 

 
UTILISING IGV APPROACH TO IDENTIFY FACTORS AFFECTING WEB USABILITY
1Shahizan Hassan and 2Feng Li
1School of Information Technology, Northern University of Malaysia, 06010 UUM Sintok, Kedah, Malaysia
2The Business School, University of Newcastle, Newcastle upon Tyne NE1 7RU, United Kingdom
 
ABSTRACT FULL TEXT
Due to the changing nature of Internet technology and user needs, continuous web evaluation has become very important in determining the usability of web sites. However, web designers often face problems in identifying the right criteria for evaluation. Despite the growing number of guidelines and other literature on web design and evaluation, each of them varies in terms of quality, coverage, relevancy, and suitability. With this in mind, a study using IGV approach was carried out to identify key generic criteria that need to be taken into consideration by designers or others when assessing the overall usability of web sites. The results of the study include a comprehensive list of the identified usability criteria that were grouped into 7 major factors – screen appearance, content, accessibility, navigation, media use, interactivity, and consistency.
 
Keywords: Web design, web usability, usability criteria, web evaluation.
 

 
OPTIMAL CHANNEL ALLOCATION IN CELLULAR SYSTEMS
1M. Jain, 2Kriti Priya and 3Rakhee
Institute of Basic Science, Dr. B.R. Ambedkar University, Khandari, Agra-282005, India
 
ABSTRACT FULL TEXT
We address the problem of determining the optimal number of reserved and unreserved channels in cellular networks with integrated voice/data traffic. Four prioritized channel assignment schemes are considered for which the optimal number of channels for different traffic is determined. In scheme 1 (CAS 1), a fixed number of channels are reserved especially to serve hand-off calls. Scheme 2 (CAS 2) provides a buffer to the hand-off voice calls so that they could be served when the channel gets free. In scheme 3 (CAS 3), the new calls are allowed to use the reserved channels also, if they are available. In order to cope with the heavy traffic conditions, the reserved channels are subrated to accommodate more voice users in scheme 4 (CAS 4). The optimal number of channels to be allocated to each cell in all the schemes is calculated using an iterative algorithm, which minimizes the overall blocking probability of the handoff calls by solving a non-linear integer-programming problem. All the schemes are compared in terms of blocking probabilities of hand-off calls and new calls, overall blocking probability and carried load by using numerical illustrations.
 
Keywords: Wireless communication, optimal channel allocation, subtrating, prioritized channel assignment.
 

 
A DISTRIBUTED AGENT-BASED ARCHITECTURE FOR CUSTOMER RELATIONSHIP MANAGEMENT IN E-ENTERPRISES
1N. R. Srinivasa Raghavan and 2Dnyaneshwar Pawar
Department of Management Studies, Indian Institute of Science, Bangalore 560 012, India
 
ABSTRACT FULL TEXT
The chief objective of Customer Relationship Management (CRM) is to acquire, retain and increase the profitability and lifetime value of customers. This requires a better understanding of customer needs and expectations. Customer information acquired through transactions with the customer is stored in databases which contain valuable information about customers which could be used to business advantage. Typically, databases in organizations are distributed and as such, the data mining tool for such databases should have a distributed architecture. In this paper, we propose the design and implementation issues of an agent based architecture for data mining of such databases where individual agents communicate using KQML. We have defined certain performatives that have been implemented for this application. In this paper we present the design and implementation of the facilitator agent, the broker, the data mining agents and implementation of the performatives that we have defined for this application. Our implementation is based on Java servelets with KQML as the language used for agent communication. Sample runs on known algorithms like apriori are performed and the runs demonstrate the proof of concept for distributed agents based model.
 
Keywords: Software agents, data mining, customer relationship management, distributed systems, UML.
 

 
SIMULATION STUDY FOR IMPROVING PATIENT TREATMENT SERVICES
1Saleh Hashim, 2Razman Mat Tahar and 3Engku Muhammad Nazri Engku Abu Bakar
Faculty of Quantitative Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
 
ABSTRACT FULL TEXT
This paper describes a simulation study conducted on patients’ waiting time and the optimum use of doctors utilization at the Department of Medicine (MOPD) Hospital Alor Setar (HAS) with the aim of improving the operational performance of the hospital. It incorporates the use of Arena to help MOPD develop a model for the analyses of different alternatives to enhance the doctor utilizations and to improve on the patients’ waiting time. Two different scenarios were considered. The first scenario, which was changing patients’ scheduling capacity resulted in the reduction of patients’ waiting time while the second scenario, which was increasing patients’ appointment capacity by 10% resulted an increase in the use of doctors but at the same time increased patients’ waiting time. Results of the analyses showed that management could reduce patients’ waiting time and increase the use of doctors’ by changing the scheduling strategy and by defining the waiting time itself.
 
Keywords: Simulation, hospital, healthcare, medical.
 

 
AN EXPERIMENTAL EVALUATION OF CASE SLICING AS A NEW CLASSIFICATION TECHNIQUE
1Omar A. A. Shiba, 2Md. Nasir Sulaiman, 3Fatimah Ahmad and 4Ali Mamat
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
 
ABSTRACT FULL TEXT
Several classification techniques are designed to discover such classifications when the classifications are unknown. The techniques are tested and evaluated, however, by matching the classifications they recover against expected classifications. Several such techniques may be compared by experimentally evaluating their performance on the same datasets. The goal of this paper is to evaluate the case slicing technique as a new classification technique. The paper achieves this goal in three steps: Firstly, it introduces the case slicing technique as a new approach. Secondly, the paper presents applications of this technique on several datasets. Lastly, it compares the proposed approach with other selected approaches such as the K-Nearest Neighbour (K-NN), Base Learning Algorithm (C4.5) and Naïve Bayes classifier (NB) in solving the classification problems. The results obtained shows that the proposed approach is a promising method in solving decision-making problem.
 
Keywords: Data mining, case-slicing technique, k-nearest neighbour, base learning algorithm, naïve bayes, classification accuracy.

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