Bài giảng Tạo lập hệ cơ sở tri thức (Tuần 8)

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The Hybrid Artificial Intelligent model is a new method for evaluation of food biotechnology based on collaborative expert preferences and customer behaviours. This new approach using Kansei evaluation is to quantify expert sensibilities and emotions about bio-food quality in market and biofood research environments. Further improvement of food biotechnology evaluation applying for a real case study with expert feedbacks can be considered in future studies. To evaluate bio-food products, the model allowing Web-application with an autonomous intelligent system can also be considered in future studies.

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9/3/2013 Tạo lập hệ cơ sở tri thức Tuần 8 (Week 8) 1. Xây dựng giao diện Theo bài tập 2. Mô đun hỏi đáp lớn – dự án môn học của các nhóm 3. Case Study 3 Hai V Pham hai@spice.ci.ritsumei.ac.jp 1 HYBRID ARTIFICIAL INTELLIGENT MODEL USING COLLABORATIVE DECISION MAKING FOR EVALUATION OF FOOD BIOTECHNOLOGY Conference paper and journal paper http://rc3bio.hut.edu.vn/ (1)*Hai V. Pham, (2) Thang Cao and (3) Katsuari Kamei (1) Ritsumeikan University 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, JAPAN hai@spice.ci.ritsumei.ac.jp (2)-(3) College of Information Science and Engineering, Ritsumeikan University 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, JAPAN Agenda Introduction and Problem System Overview Methodology Example Applications Result Discussions Conclusions 3 1
9/3/2013 Introduction of food biotechnology Food biotechnology Food Research biotechnology engineering Food biotechnology has been widely produced healthy foods in daily life Food biotechnology is to provide fresh foods and improving quality. Researchers, customers and consumers need to determine bio-food products as well as quality food if each potential new food product will be a useful, beneficial and safe development. 4 Traditional methods in Food biotechnology Evaluation Customers to evaluate food products using Hybrid Artificial questionnaires online, Intelligent model most evaluation is to improve an approaches based on evaluation model bio-food standard of food indicators biotechnology Bio-food standard indicators Customers to evaluate food products using questionnaires online, most evaluation Some studies have approaches based on bio-food investigated an standard indicators evaluation of food biotechnology using expert interviews. Customers / experts 5 Problems in Food biotechnology Evaluation ? The weaken points of current approaches using group customer/expert sensibilities and preferences are not aggregated concurrently. Bio-food indicators can only use for evaluation based on expert preferences Customer behaviours and emotions may not consider in an evaluation. The conflict members in the decision making results 6 2
9/3/2013 Problems in evaluation of Food biotechnology… Good bio-food Disatisfied bio- products food products Bio-food product A Experts are satisfied instead of testing these products based on bio-food indicators Japanese Customers are somewhat preferred to these bio-food products Satisfied bio- food products Chinese Customers are satisfied 7 to these bio-food products System Overview 8 Methodology Step 1. Kansei Evaluation to quantify expert sensibilities and preferences Step 2. Collaborative Decision Making in Bio-food Evaluation 9 3
9/3/2013 Methodology . . . Step 4. Select alternatives matching with customer/ expert preferences 10 Results and Discussions The final Web-based result SOM Map result 11 Results and Discussions… 12 4
9/3/2013 Conclusion and Future work The Hybrid Artificial Intelligent model is a new method for evaluation of food biotechnology based on collaborative expert preferences and customer behaviours. This new approach using Kansei evaluation is to quantify expert sensibilities and emotions about bio-food quality in market and bio- food research environments. Further improvement of food biotechnology evaluation applying for a real case study with expert feedbacks can be considered in future studies. To evaluate bio-food products, the model allowing Web-application with an autonomous intelligent system can also be considered in future studies. 13 Thank you very much for your attentions! Questions & Answers You can drop questions to us by email: haivnu@yahoo.com 14 5