The Analytic Hierarchy Process (AHP) model was designed by Thomas L.Saaty (Saaty, 1980) in 1970s as a decision making aid. It is especially suitable for complex decisions which involve the comparison of decision elements which are difficult to quantify. It is based on the assumption that when faced with a complex decision the natural human reaction is to cluster the decision elements according ...

This paper presents a new approach for the treatment of uncertainty which is based on interval rough numbers (IRN). IRN based approach uses only internal knowledge i.e. operational data without relying on assumption models. In other words, instead of various additional/external parameters, IRN uses only the structure of the existing data. Based on the IRN there has been developed a novel IRAHP ...

Analytic hierarchy process (AHP) is a utility theory based decision-making technique, which works on a premise that the decision-making of complex problems can be handled by structuring them into simple and comprehensible hierarchical structures. However, AHP involves human subjective evaluation, which introduces vagueness that necessitates the use of decision-making under uncertainty. The vagu...

The e-scouting process, to search for and select products whose characteristics are known in catalogues, is often inefficient and ineffective: the overload of information available on the Web and the human limitations in processing information, are the main cause. Experiments, in order to simulate the escouting process of a leverage [1] product by a set of student buyers, were performed and res...

industrial energy consumption lies between 30% and 70% of the total energy consumed in selected countries. cement production is one of the most energy intensive industries all around the world. this paper deals with an energy audit analysis in a cement plant in iran. in all recent works, after performing an energy audit, different strategies are offered to reduce energy losses. generally, these...

one of important problems in supply chains management is supplier selection. in a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...

Using the results of previous studies of service quality attributes, "ve sets of quality measures are identi"ed. These indicators or measures, through the analytic hierarchy process (AHP), are then accurately and consistently weighted. The priority weights are, in turn, incorporated in a goal-programming model to help select the `besta set of quality control instruments for customer data collec...

The supplier selection exercise is a critical factor towards the success of a company. This paper compares four different methods to support decision makers in selecting the most appropriate supplier. When using Fuzzy logic, the importance of each criterion gets influenced by the level of decomposition in the hierarchical model. Fuzzy logic does not have the capability to measure the level of c...

Interactive Digital Television (IDTV) service providers have been looking for ways to maintain their competitive advantage in the marketplace. To do this, IDTV service providers need to carefully evaluate the drivers affecting their existing commercial operations and practices. Hence, this study was undertaken to investigate various adoption drivers for IDTV commerce. A combination of research ...