the rapid development of internet and electronic businesses have stimulated the banking sector towards encouraging customers to internet banking (ib), however, the evidence indicates a lack of interest in the use of ib services. therefore, this paper aims to identify affecting factors on customer adoption from ib and measure the influence of each factor on ib adoption. based on an explorative l...

Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been proposed to assist decision makers in the process of ranking alternatives. Given the variability of available methods, choosing an MCDM ranking method is a difficult task. There are key factors in the process of choosing an MCDM method such as: (i) available time; (ii) effort required by a given approach; (iii...

Enterprises nowadays are subscribing access to several Internet Service Providers (ISPs) for reliability, redundancy and better revenues underlying the service extension, while providing good Quality of Service (QoS). In this paper, a dynamic decision-making framework is presented for Session Initiation Protocol (SIP) based voice/video call routing in multihomed network. The decision engine tak...

With the increasing environmental awareness, apparel manufacturers have begun to consider environmental issues in supplier evaluation and selection. It is crucial to assess suppliers based on their environmental performance along with other criteria for supplier selection. This paper addresses the green supplier evaluation and selection problem in global apparel manufacturing by developing a me...

Supplier selection is a typical multi-criteria decision making(MCDM) problem and lots of uncertain information exist inevitably. To address this issue, a new method was proposed based on interval data fusion. Our method follows the original way to generate classical basic probability assignment(BPA) determined by the distance among the evidences. However, the weights of criteria are kept as int...

Original scientific paper In the construction industry, air conditioners (AC) are vital structural segments affecting human’s comfort and health directly. In this context selection process for the proper AC requires the usage of multi-criteria decision making (MCDM) methods due to conflicting criteria such as purchasing and maintenance costs, technical sufficiency, quality of service, performan...

This paper deals with modeling of flexible manufacturing systems (FMS) under uncertainties and evaluation of multi criteria decision making approach for online scheduling. To represent uncertain events in FMS, such as failure of machine tools, repair time, and processing time, we develop Stochastic Petri nets for constructing the FMS model. For obtaining an online real-time efficient schedule o...

Expert Systems (ES), a promising branch of Artificial Intelligence (AI), have achieved considerable success in recent years. This area of AI has concentrated on the construction of high-performance programs in specialized professional domains. Building a new expert system is a major investment. Choosing the right expert system building tool or shell is critical to the success and failure of suc...

Multi-criteria decision-making (MCDM) can be formally implemented by various methods. This study compares suitability of four selected MCDM methods, namely WPM, TOPSIS, VIKOR, and PROMETHEE, for future applications in agent-based computational economic (ACE) models of larger scale (i.e., over 10 000 agents in one geographical region). These four MCDM methods were selected according to their app...

Decision-making problems require systematic approach to evaluate alternatives using both quantitative and non-quantitative factors. Standard methods to solve problems lack considerations of non-quantitative factors, in which numeric value is difficult to assign. Different techniques like Fuzzy set theory, Analytic Hierarchy Process (AHP) and Multi Criteria Decision Making (MCDM) are presently b...