- 11/6/2012 Tuần 12 (Week 12) Email:
[email protected] Hai V Pham
[email protected] 1 Kỹ thuật •K thu t thu thập th p tri thức th c chuyên môn từ chuyên gia và tài liệu li u chuyên môn Áp dụng •Áp ng bài tập p lớn n Hai V Pham
[email protected] 2 Tham khảo tài liệu trong nước, quốc tế và các công trình khoa học liên quan đến lĩnh vực nghiên cứu Các phương pháp nghiên cứu cùng lĩnh vực đã và đang thực hiện Thu thập tri thức chuyên môn từ chuyên gia: mẫu câu hỏi tham khảo, phỏng vấn và các đánh giá chuyên môn chuyên sâu Hai V Pham
[email protected] Case Study 4 Context Matching Algorithm in Searching Alternatives under Uncertain Environments for Intelligent Context- Context-Aware Systems Hai V Pham
[email protected] 4 Thảo luận các nhóm vềdự án môn học với tiến độ giữa học kỳ bao gồm các phần như sau.
- Bảo vệ BTL- dự án môn học Hai V Pham
[email protected] 5 Context Matching Algorithm in Searching Alternatives under Uncertain Environments for Intelligent Context- Context-Aware Systems Hai V.
- Pham (Ritsumeikan University) Philip Moore (Birmingham City University Hai V Pham
[email protected] Research Backgrounds •Research Problem •Context Matching Algorithm •Soft computing integrated with Context Matching Algorithm •Research Discussion •Future works Hai V Pham
[email protected] 7 Context is any information which is used to characterize the situation of entity (objects, activities, preferences,..etc) Context-awareness means to use context information Context-aware systems aim to provide searching / computing information and communication.
- Hai V Pham
[email protected] 8 Objects = alternatives has variety of attributes Ex.
- Tourism, Business, E-commer, Translation ..etc Hai V Pham
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[email protected] 10 Searching specific majors in languages Recommender alternatives Decision support Tourism Context –aware App.
- ..etc Hai V Pham
[email protected] 11 We are explored in the area Hai V Pham
[email protected] Context Matching Algorithm in Searching Alternatives Hai V Pham
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[email protected] R1 IF { OR.
- (4) Hai V Pham
[email protected] 19 Fuzzy rules ( Human Common Sense Reasoning) Self-Organizing Map is used to cluster alternatives, matched with searching objects Neural Network is used to train pattern behavior of historical data and predict matched alternatives and objects Hai V Pham
[email protected] 20 SOFT COMPUTING MODEL Searching alternatives’ results in dynamic environments under uncertainty Searching alternatives’ results in static environments Hai V Pham
[email protected] SOFT COMPUTING MODEL SOM NEURAL NETWORKs FUZZY RULES Hai V Pham
[email protected] 22 Step 1: 1 Evaluate the context match {1, 0} for each individual context property, for example: Step 2 : Obtain the pre-defined property weighting (ww) for each context property in the range Step 3: 3 Apply the weighting (w w) to the value as derived from step 2 (note: the w is applied irrespective of the value of e.
- Thus retaining the result for e): IF e(a1 a1) a1 = {1, 0} THEN av= av (ee∗ w) Solution 1: SOFT COMPUTING MODEL INTEGRATED IN THIS STEP ( THE FIRST CHOICE) Step 4: 4 Sum the values derived from the CM process: Step 5 : Compute the potential maximum value (mpv mpv) mpv for the context properties {a1, b1, b2, c1, c2}: Solution 2: SOFT COMPUTING MODEL INTEGRATED IN THIS STEP ( THE SECOND CHOICE) Step 6: 6 Compute the resultant value (rv rv) rv for testing against threshold value (tt): Hybrid Solution: Context- Context-Matching Algorithm and Soft Computing model results Hai V Pham
[email protected] 23 Thank you for your attentions! Hai V Pham
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