In this paper we presented an architecture and basic learning process underlying in fuzzy inference system and adaptive neuro fuzzy inference system which is a hybrid network implemented in framework of adaptive network. In real world computing environment, soft computing techniques including neural network, fuzzy logic algorithms have been widely used to derive an actual decision using given i...

Technology is viewed as one of the major factors determining the competitiveness position of an industry. For the sake of technology competitiveness; however, countries need to encourage private firms to develop technology R&D projects. How to select proper R&D projects to be supported for governments is very important policy. In this study we propose a hierarchical dependence structure for ITD...

To improve the problem that the parameter identification for fuzzy neural network has many time complexities in calculating, an improved T-S fuzzy inference method and an parameter identification method for fuzzy neural network are proposed. It mainly includes three parts. First, improved fuzzy inference method based on production term for T-S Fuzzy model is explained. Then, compared with exist...

water quality assessment provides a scientific basis for water resources development and management. this case study proposes a factor analysis- hopfield neural network model (fhnn) based on factor analysis method and hopfield neural network method. the results showed that the factor analysis (fa) technique was introduced to identify important water quality parameters. results revealed that bio...

Laser Forming process as a non-contact thermal forming process is widely used to forming and bending of metallic and non-metallic sheets. In this process, according to laser irradiation along a specific path, sheet is bent. One of the most important output parameters in laser forming is bending angle that depends on process parameters such as physical and mechanical properties of materials, las...

Risk management for business processes is critical to the survival and performance of organizations, and has gained the interest of practitioners and academics. In this article, a fuzzy based multi-agent system (FMAS) is proposed as a practical solution to assess the process risk state and provide recommendations for the continuous improvement of business processes. To represent uncertain and a...

A hybrid fuzzy knowledge-based system with crisp and fuzzy rules as well as numerical methods was developed for multiobjective optimization of power distribution system operations. The development process and knowledge acquisition process for the fuzzy knowledge-based system are described in detail. The fuzzy knowledge-based system has a four-level rule hierarchy. After a heuristic preprocessor...

Online education has been still a common way for teaching and learning in the post epidemic era. However, related research on service quality online Yue kiln celadon art industry is vital gap during this period. Thus, hybrid method of FANP GRA proposed study to analyse evaluate key factors providing maintaining high coronavirus In research, whether model GRA, such as safety mechanism transactio...