enterprise architecture (ea) is a discipline for understanding, engineering, and managing different components of an enterprise and their interrelationships. moreover, because the risk and impact of ea are pervasive across the enterprise, it is critical to perform an architecture assessment before making any decision about choosing a scenario. this paper provides an approach based on fuzzy anal...

Healthy assessment weights of using of modern electronic equipment is too subjective problem, it is proposed in this paper that is based on fuzzy analytic hierarchy process and the method based on the theory of the D-S evidence. In solid state transmitter, for example, by analysis of working principle, from the perspective of healthy status evaluation, it will be associated with healthy status ...

The development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evaluation of suppliers anymore due to the rapidly changing environment, and different perspectives are needed to be considered. The...

abstract small and medium-sized enterprises (smes) play a major role in national economy. e-business processes provide many opportunities for these companies to compete in regional and international markets. this study seeks to analyze the factors affecting e-business implementation in small and medium-sized enterprises. for this purpose, 10 factors and 61 indices were identified based on the l...

Caixia Li , Sreenatha Gopalarao Anavatti, Tapabrata Ray University of New South Wales @ Australian Defence Force Academy [email protected] Abstract-This paper focuses on the design and implementation of the analytical hierarchy process (AHP) using Fuzzy inference techniques. This AHP-FUZZY approach is a multi-criteria combination system. The nature of the AHP-FUZZY approach is pair-...

This study proposes a holistic approach for determining critical attributes in e-learning measurements. There is an abundance of literature pertaining to the e-learning framework, but there is a shortage of literature on how to properly implement the framework in uncertainty with variance and interactive relationships. This paper also considers the nature of fuzziness in human perception and av...

The main purpose of this paper is to present a fuzzy multi-criteria decision making (FMCDM) model for international tourist hotel location selection. In this article we created 21 criteria for selecting the international tourist hotel location acquired from literatures review and practical investigations. And the methods of fuzzy set theory, linguistic value, hierarchical structure analysis, an...

In this article, by using fuzzy AHP and TOPSIS technique we propose a new method for project selection problem. After reviewing four common methods of comparing alternatives investment (net present value, rate of return, benefit cost analysis and payback period) we use them as criteria in AHP tree. In this methodology by utilizing improved Analytical Hierarchy Process by Fuzzy set theory, first...

Ontology is an effective conceptualism commonly used for the World Wide Web. Fuzzy logic can be incorporated to ontology to represent uncertainty information. To tackle this problem, this paper proposes the FOGA (Fuzzy Ontology Generation framework) for automatic generation of fuzzy ontology on uncertainty information. The FOGA framework comprises the following components: Fuzzy Formal Concept ...

Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate too many rules tbJring the learning process. This is due to data sets obtained from real world systems containing distorted elements or noisy data. Most approaches try to completely ignore outliers, which can be potentially hannful since the exmnple may describe a rare but still extremely interest...