A soft computing approach for prediction of P-q-T behavior of natural gas using adaptive neuro- fuzzy inference system. Petroleum. 2016a. https://doi.org/10. 1016/j.petlm.2016.12.004.A soft computing approach for prediction of P-q-T behavior of natural gas using adaptive neurofuzzy ...
In subject area: Computer Science An adaptive neuro-fuzzy inference system is defined as an intelligent synthesis of neural networks and fuzzy logic, combining the robustness and learning capabilities of neural networks with the ability to model imprecise knowledge using fuzzy logic. ...
Our method is developed by the use of Best-Worst Method (BWM) and Fuzzy Inference System (FIS). BWM is used to determine the importance of each criteria and FIS to evaluate and rank the insurance branches. The data for this study was collected from the managers of 52 Dana insurance ...
Alternatively, Fuzzy Inference Systems (FISs) are soft-computing methods that allow using the human expertise in logic in IF–THEN rules. The fuzzy controllers map the experience of an expert in controlling the plant. Moreover, the literature shows that optimization algorithms allow the adaptation ...
leading to neuro-fuzzy systems. Within fuzzy logic, such systems play a particularly important role in the induction of rules from observations. An effective method developed by Dr. Roger Jang for this purpose is called ANFIS (Adaptive Neuro-Fuzzy Inference System). This method is an important ...
The fuzzy inference system comprises an inference unit (30) of pipeline architecture, a control unit (20) for controlling the operation of the inference unit, and a host computer (10) for supervising the entire operation. A plurality of inference rule groups (referred to as rule cells) each ...
Soft computing and fuzzy logic. Soft Computing 1, 35–41 (1997). https://doi.org/10.1007/s005000050004 Download citation Issue DateApril 1997 DOIhttps://doi.org/10.1007/s005000050004 Keywords: Soft computing Fuzzy computing fuzzy coordinate system fuzzy representation theory fuzzy inference theory...
This paper presents a nuclear case study, in which a fuzzy inference system (FIS) is used as alternative approach in risk analysis. The main objective of this study is to obtain an understanding of the aging process of an important nuclear power system and how it affects the overall plant ...
The robust application of wireless sensor networks has increased during the past decade due to the potential use of wireless nodes in transmission of infor... PK Dutta,MK Naskar,OP Mishra - 《Computer Science》 被引量: 9发表: 2013年 An approach based on fuzzy inference system and ant colony...
Robotic Path planning is one of the most studied problems in the field of robotics. The problem has been solved using numerous statistical, soft computing and other approaches. In this paper we solve the problem of robotic path planning using a combination of A* algorithm and Fuzzy Inference. ...