scholarly journals An Application of a Fuzzy Neural Network to Multi-Attribute Decision Making Problems

1992 ◽  
Vol 4 (4) ◽  
pp. 753-758 ◽  
Author(s):  
Tomonori HASHIYAMA ◽  
Shin-ichi HORIKAWA ◽  
Takeshi FURUHASHI ◽  
Yoshiki UCHIKAWA
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Fuzzy Neural Network ◽  
Fuzzy Neural ◽  
Multi Attribute Decision Making

Research on Intelligent Decision-Making System of Variable Spraying for Mobile Robot in Greenhouse

2012 ◽  
Vol 241-244 ◽  
pp. 1835-1838
Author(s):  
Guo Qin Gao ◽  
Hai Yan Zhou ◽  
Xue Mei Niu ◽  
Zhi Ming Fang
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Mobile Robot ◽  
Fuzzy Neural Network ◽  
Plant Diseases ◽  
Chemical Pollution ◽  
Utilization Rate ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Fuzzy Neural

In order to improve the pesticide effective utilization rate and reduce the pesticide residues and the chemical pollution, an intelligent decision-making method for variable spraying of mobile robot based on a fuzzy neural network is proposed. The system is built by integrating the level of plant diseases and insect pests and the spraying target’s distance and area. The intelligent decision-making is achieved by self-learning and self-correcting the fuzzy rules of the fuzzy neural network. The simulation experiment results show that the intelligent decision-making method can realize real-time and quick decision. It has the greater decision accuracy than the fuzzy decision system on the samples not appearing in training and has a good fit for the uncertain work environment in greenhouse.

Combined Method for E-Commerce Website Evaluation Based on Fuzzy Neural Network

2013 ◽  
Vol 380-384 ◽  
pp. 2135-2138 ◽  
Author(s):  
Huan Liu ◽  
Viktor V. Krasnoproshin ◽  
Shuang Zhang
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Fuzzy Neural Network ◽  
Fuzzy Ahp ◽  
Combined Method ◽  
Structure Development ◽  
Analytic Hierarchy ◽  
Website Evaluation ◽  
Fuzzy Neural ◽  
Hierarchy Process

This paper describes method for E-commerce website evaluation. Fuzzy AHP and neural network were applied to solve the problem. The proposed system consists of four components: (1) hierarchical structure development for fuzzy analytic hierarchy process (FAHP), (2) weights determination, (3) data collection, and (4) decision making.

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