FUZZY MODELS OF WEB SERVICES SELECTION IN THE DEVELOPMENT OF SERVICE-ORIENTED INFORMATION SYSTEMS FOR SMALL AND MEDIUM ENTERPRISES

Nowadays, small and middle enterprises (SME ́s) competitiveness increasingly depends on their ability to adapt successfully to a rapidly changing business environment. Because of this information system that provides integrated support for all business procceses of an enterprise must be highly dynamic and flexible. Service-oriented architecture (SOA) considered as a set of interacting web services is able to ensure the information system flexibility, reduce software development, maintenance and upgrades costs, and thereby increase responsiveness of the system to changing business requirements. In service-oriented design web-services have a direct impact on the possibility of development, adaptation and modernization of the information system. The paper discusses principles and methods for SOA design for SME ́s considering the structure of business processes as a basis of coordinated service interactions. Taking into account the business requirements the problem of web services optimal selection for service-oriented information system is solved. The problem of web service selection is formulated as a problem of choice with fuzzy preferences. Fuzzy logic and expert methods are used for evaluation and selection of web services. The developed procedures allow the user to evaluate and select from a set of available services the services with the required functionality and quality. The proposed fuzzy model and algorithms of web services selection provide the effective decision-support mechanisms for construction of SOA-based systems for small and middle enterprises.Тhe new approach helps SME’s to strengthen competitiveness through developing the information systems with flexible structure that allows to consider all changes in business environment, and reduce the time-tomarket with the system.