Một số mở rộng của hệ suy diễn mờ phức cho bài toán hỗ trợ ra quyết định.

Một số mở rộng của hệ suy diễn mờ phức cho bài toán hỗ trợ ra quyết định.Một số mở rộng của hệ suy diễn mờ phức cho bài toán hỗ trợ ra quyết định.Một số mở rộng của hệ suy diễn mờ phức cho bài toán hỗ trợ ra quyết định.Một số mở rộng của hệ suy diễn mờ phức cho bài toán hỗ trợ ra quyết định.Một số mở rộng của hệ suy diễn mờ phức cho bài toán hỗ trợ ra quyết định.

B® GIÁO DUC VÀ ĐÀO TAO VIfiN HÀN LÂM KHOA HOC VÀ CÔNG NGHfi VIfiT NAM HOC VIfiN KHOA HOC VÀ CƠNG NGHfi LƯƠNG TH± HONG LAN M®T SO Mê R®NG CÛA Hfi SUY DIEN Mè PHÚC CHO BÀI TỐN HO TRe RA QUYET бNH LU¾N ÁN TIEN SĨ NGÀNH MÁY TÍNH Hà N®i - 2021 B® GIÁO DUC VÀ ĐÀO TAO VIfiN HÀN LÂM KHOA HOC VÀ CÔNG NGHfi VIfiT NAM HOC VIfiN KHOA HOC VÀ CÔNG NGHfi LƯƠNG TH± HONG LAN M®T SO Mê R®NG CÛA Hfi SUY DIEN Mè PHÚC CHO BÀI TOÁN HO TRe RA QUYET бNH Chuyên ngành: Khoa HQC máy tính Mã so: 9.48.01.01 LU¾N ÁN TIEN SĨ NGÀNH MÁY TÍNH NGƯOI HƯONG DAN KHOA HOC: PGS.TS Lê Hoàng Sơn PGS.TS Nguyen Long Giang Hà N®i - 2021 LèI CAM ĐOAN Tác gia xin cam đoan cơng trình nghiên cúu cua ban thân tác gia, đưoc hồn thành dưói sn hưóng dan cua PGS.TS Lê Hồng Sơn PGS.TS Nguyen Long Giang Các ket qua nghiên cúu ket lu¾n lu¾n án trung thnc, khơng chép tù bat kỳ m®t nguon dưói bat kỳ hình thúc Vi¾c tham khao nguon tài li¾u đưoc thnc hi¾n trích dan ghi nguon ti liắu tham khao ỳng quy %nh H Nđi, ngy 19 tháng 06 năm 2021 Tác gia lu¾n án Lương Th% Hong Lan LèI CÂM ƠN Lu¾n án đưoc hồn thành vói sn no lnc khơng ngùng cua tác gia sn giúp đõ het tù thay giáo hưóng dan, ban bè ngưịi thân Đau tiên, tác gia xin bày to lòng biet ơn chân thành sâu sac tói thay giáo hưóng dan PGS.TS Lê Hồng Sơn PGS.TS Nguyen Long Giang Sn t¾n tình chi bao, hưóng dan đ®ng viên cua thay dành cho tác gia suot thịi gian thnc hi¾n lu¾n án khơng the ke het đưoc Tác gia xin gui lịi cam ơn tói thay, giỏo v cỏn bđ cua bđ phắn quan lý nghiờn cúu sinh - HQC vi¾n Khoa HQC Cơng ngh¾ (Vi¾n Hàn lâm Khoa HQC Cơng ngh¾ Vi¾t Nam), bđ phắn quan lý nghiờn cỳu sinh cua Viắn Cụng ngh¾ thơng tin nhi¾t tình giúp đõ tao mơi trưịng nghiên cúu tot đe tác gia hồn thành cơng trình cua Tác gia xin chân thành cam ơn anh ch% em Lab Tai Vi¾n Cơng ngh¾ thơng tin - Đai HQC Quoc gia Hà N®i giúp đõ tác gia suot q trình HQC t¾p nghiên cúu tai Lab Tác gia xin chân thành cam ơn tói Ban Giám hi¾u trưịng Đai HQC Sư pham, Đai HQC Thái Nguyên, đong nghi¾p khoa Tốn, nơi tác gia cơng tác nhung năm đau nghiên cúu sinh; Ban Giám hi¾u trưịng Đai HQC Thuy Loi H Nđi, cỏc ong nghiắp khoa Cụng ngh¾ thơng tin, nơi tác gia hi¾n cơng tác đeu ln đ®ng viên, giúp đõ tác gia cơng tác đe tác gia có thịi gian t¾p trung nghiên cúu hồn thành lu¾n án thịi han Đ¾c bi¾t tác gia xin bày to lịng biet ơn sâu sac tói Bo, Me, em gia đình, nhung ngưịi ln dành cho nhung tình cam nong am se chia nhung lúc khó khăn cu®c song, ln đ®ng viên giúp đõ tơi q trình nghiên cúu Cam ơn gái ln ngoan ngỗn ung hđ e me trung nghiờn cỳu, hon thnh luắn án Lu¾n án q tinh than mà tơi trân TRQNG gui t¾ng đen thành viên Gia đình Tơi xin trân TRQNG cam ơn! Hà N®i, ngày 19 tháng 06 năm 2021 Ngưịi thnc hi¾n Lương Th% Hong Lan MUC LUC Danh mnc bang vi Danh mnc hình ve, đo th% vi i Mê ĐAU Chương TONG QUAN NGHIÊN CÚU VÀ CƠ Sê LÝ THUYET 1.1 Giói thi¾u 1.2 Van đe H¾ suy dien mị H¾ ho tro quyet đ%nh 1.3 Tong quan nghiên cúu liên quan 10 1.3.1 H¾ suy dien mà 11 1.3.2 Các h¾ phát trien dna t¾p mà phúc 14 1.3.3 Các van đe ton tai can giái quyet cua h¾ CFIS hi¾n 19 1.4 Cơ so lý thuyet 20 1.4.1 T¾p mà 21 1.4.2 T¾p mà phúc 21 1.4.3 Các phép toán t¾p mà phúc 24 1.4.4 Logic mà phúc 27 1.4.5 Đ® đo mà đ® đo mà phúc 28 1.5 Du li¾u thnc nghi¾m 30 1.5.1 B® du li¾u chuan 30 1.5.2 Bđ du liắu thnc- Bắnh gan Liver 31 1.5.3 Các đ® đo đánh giá thnc nghi¾m 32 1.6 Ket Chương 33 Chương XÂY DUNG Hfi SUY DIEN Mè PHÚC DANG MAMDANI (M-CFIS) 34 2.1 Giói thi¾u 34 2.2 Đe xuat toán tu t-chuan t- đoi chuan mò phúc 36 2.3 2.4 2.2.1 Toán tu t-chuan t-đoi chuan 37 2.2.2 Toán tu t-chuan t-đoi chuan mà phúc 38 2.2.3 Ví dn minh HQA ho tra quyet đ%nh 41 H¾ suy dien mị phúc Mamdani (M-CFIS) .44 2.3.1 Đe xuat h¾ suy dien mà phúc Mamdani 44 2.3.2 Các lna cHQN su dnng h¾ suy dien mà phúc Mamdani 45 2.3.3 Cau trúc cua h¾ suy dien mò phúc Mamdani 47 2.3.4 Ví dn so minh HQA mơ hình suy dien M-CFIS 49 2.3.5 Thu nghi¾m đánh giá ket 51 Ket Chương .53 Chương TINH GIÂM Hfi LU¾T TRONG Hfi SUY DIEN Mè PHÚC MAMDANI (M-CFIS-R) 55 3.1 Giói thi¾u 55 3.2 Đe xuat đ® đo tương tn mò phúc 60 3.3 3.4 3.2.1 Đ® đo tương tn mà phúc Cosine .61 3.2.2 Đ® đo tương tn mà phúc Dice 62 3.2.3 Đ® đo tương tn mà phúc Jaccard .63 Đe xuat mơ hình h¾ suy dien M-CFIS-R 64 3.3.1 Ý tưáng xây dnng mơ hình 64 3.3.2 Phan Training 65 3.3.3 Phan Testing 70 Thu nghi¾m đánh giá ket qua 71 3.4.1 Ket thnc nghiắm trờn bđ du liắu UCI 71 3.4.2 Ket quỏ thnc nghiắm trờn bđ du li¾u thnc .73 3.5 Ket Chương 75 Chương Mê R®NG Hfi SUY DIEN Mè PHÚC MAMDANI VéI ĐO TH± TRI THÚC (M-CFIS-FKG) 77 4.1 Giói thi¾u .77 4.2 M®t so mo r®ng cua mơ hình M-CFIS-R 79 4.3 4.4 4.5 4.2.1 H¾ suy dien mà phúc Sugeno Tsukamoto .79 4.2.2 Đ® đo mà phúc dna lý thuyet t¾p hap 80 4.2.3 Tích phân mà phúc 86 Đe xuat mơ hình h¾ suy dien mị phúc M-CFIS-FKG 93 4.3.1 Ý tưáng xây dnng mơ hình 93 4.3.2 Xây dnng đo th% tri thúc mà 95 4.3.3 Thu¾t tốn suy dien nhanh đo th% tri thúc mà .96 4.3.4 Ví dn minh HQA h¾ suy dien mà phúc M-CFIS-FKG 98 Thnc nghi¾m đánh giá ket qua 103 4.4.1 Thnc nghi¾m 103 4.4.2 Ket thnc nghi¾m 104 Ket Chương 112 KET LU¾N VÀ HƯéNG PHÁT TRIEN 114 Nhung ket qua cua lu¾n án .114 Hưóng phát trien cua lu¾n án 116 TÀI LIfiU THAM KHÂO 119 Kí hi¾u viet tat STT 10 11 12 13 14 15 16 17 Tù tat FS CFS CFL FIS Tieng anh Fuzzy Set Complex Fuzzy Set Complex Fuzzy Logic Fuzzy Inference System Dien dai T¾p mị T¾p mị phúc Logic mị phúc H¾ suy dien CFIS Complex Fuzzy Inference System H¾ suy dien mị phúc IFIS Intituition Fuzzy Inference System H¾ suy dien mị trnc cam ANFIS Adaptive Neuro Inference System Fuzzy CNS H¾ suy dien mị noron thích nghi Complex Neuro-Fuzzy H¾ suy dien mị noron thích Inference System nghi phúc Adaptive Neuro Complex Mang noron giá tr% mị phúc Fuzzy Inference System thích nghi Complex Neutrosophic Set T¾p Neutrosophic phúc MCDM Multicriteria making CANFIS ANCFIS KG FKG decision H¾ ho tro quyet đ%nh đa tiêu chí Fast Inference Search Thu¾t tốn tìm kiem suy dien Algorithm nhanh Knowledge Graph Đo th% tri thúc Fuzzy Knowledge Graph Đo th% tri thúc mò M-FIS Mamdani Fuzzy Inference H¾ suy dien mị Mamdani System FISA M-CFIS M-CFIS-R Mamdani Complex Fuzzy Inference System Mamdani Complex Fuzzy Inference System Reduce Rule H¾ suy dien mị Mamdani phúc H¾ suy dien mị phúc Mamdani - giam lu¾t 18 M-CFISFKG 19 20 GRC UCI 21 RANCFIS 22 FANCFIS Mamdani Complex Fuzzy H¾ suy dien mị phúc Inference System FuzzyMamdani - Đo th% tri thúc Knowledge Graph mị Granular Computing Tính tốn hat UC Irvine Machine Kho du li¾u chuan UCI Randomized AdaptiveMang nơ ron giá tr% mò phúc Network Based Fuzzy thích nghi ngau nhiên Inference System Fast Adaptive-Network Mang nơ ron giá tr% mị phúc Based Fuzzy Inference thích nghi nhanh System Danh mnc bang 1.1 Các b® du li¾u thnc nghi¾m chuan Benchmark 31 1.2 Cỏc thuđc tớnh du liắu au vo t¾p du li¾u b¾nh gan Liver 32 2.1 Ma tr¾n quyet đ%nh dna mau du li¾u 42 2.2 Ma tr¾n quyet đ%nh mò 43 2.3 Ma tr¾n chuan hóa 43 2.4 Ma tr¾n quyet đ%nh mị 43 2.5 Ma tr¾n quyet đ%nh ket qua 44 2.6 Bđ du liắu au vo 50 2.7 Bđ c so luắt 50 4.1 H¾ so lu¾t mị phúc 95 4.2 K%ch ban 103 4.3 K%ch ban 103 DANH MUC CÁC CƠNG TRÌNH CÛA LU¾N ÁN A1 Tran Thi Ngan, Luong Thi Hong Lan, Mumtaz Ali, Dan Tamir, Le Hoang Son, Tran Manh Tuan, Naphtali Rishe, Abe Kandel (2018), “Logic Connectives of Complex Fuzzy Sets”, Romanian Journal of Information Science and Technology, Vol 21, No 4, pp 344-358 (ISSN:1453-8245, SCIE, 2019 IF = 0.760), DOI = http://www.romjist.ro/ab 606.html A2 Ganeshsree Selvachandran, Shio Gai Quek, Luong Thi Hong Lan, Le Hoang Son, Nguyen Long Giang, Weiping Ding, Mohamed Abdel-Basset, Victor Hugo C de Albuquerque (2021), “A New Design of Mamdani Complex Fuzzy Inference System for Multi-attribute Decision Making Problems”, IEEE Transactions on Fuzzy Systems, Vol 29, No.4, pp 716-730 (ISSN:1063-6706, SCI, 2019 IF = 9.518), DOI = http://dx.doi.org/10.1109/TFUZZ.2019.2961350 A3 Tran Manh Tuan, Luong Thi Hong Lan, Shuo-Yan Chou, Tran Thi Ngan, Le Hoang Son, Nguyen Long Giang, Mumtaz Ali (2020), “M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing”, Mathematics, Vol 8, No 5, pp 707 – 731 (ISSN: 22277390, SCIE, 2019 IF = 1.747), DOI = https://doi.org/10.3390/math8050707 A4 Luong Thi Hong Lan, Tran Manh Tuan, Tran Thi Ngan, Le Hoang Son, Nguyen Long Giang, Vo Truong Nhu Ngoc, Pham Van Hai (2020), “A New Complex Fuzzy Inference System with Fuzzy Knowledge Graph and Extensions in Decision Making”, IEEE Access, Vol 8, pp 164899 - 164921 (ISSN: 2169-3536, SCIE, 2019 IF = 3.745), DOI = http://dx.doi.org/10.1109/ACCESS.2020.3021097 Chương Tài li¾u tham khao [1] L A Zadeh, “Fuzzy sets,” Information and 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thúc H¾ suy dien mị (FIS)... (x, y) ) oc Ramot su dnng H¾ suy dien mị phúc, ket qua t¾p mị phỳc B cú hm thuđc mũ phỳc àB (y) = rB∗ (y) · ejωB∗ (y), đó: rB∗ (y) = sup [rA? ?? (x) ⊗ rA? ??B (x, y)] x∈U = sup [rA? ?? (x) ⊗ (rA (x)· rB... U Σ = ,(x, rA (x)ejωA (x) )|x ∈ U , (1.4) Vái rA( x) = − rA( x) ωA(x) = 2π − ωA(x) Theo [36], phép toán phan bù mị phúc có the có dang sau: A = (1 − rA (x)) ej(−ωA(x)) (1.5) A = (1 − rA (x)) ej(ωA(x))