Development of a decision making system for selection of dental implant abutments based on the fuzzy cognitive map |
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| Authors: | Sehee Lee Jeongsam Yang Jeongho Han |
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| Affiliation: | 1. Faculty of Dentistry, Srinakharinwirot University, Thailand;2. Faculty of Dentistry, Thammasat University, Thailand;3. Pronto Marketing, Bangkok, Thailand;1. Department of Dental Materials and Prosthodontics, Aracatuba Dental School, UNESP-Univ Estadual Paulista, Araçatuba, Brazil;2. Department of Health Sciences, University of Sacred Heart – USC, Bauru, Brazil;1. Department of Oral and Maxillofacial Surgery, University of Manchester, Manchester, UK;2. Department of Oral and Maxillofacial Medicine and Surgery, University of Sheffield, Sheffield, UK;3. Department of Adult Dental Care, University of Sheffield, Sheffield, UK;1. Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Near East University, via Mersin 10, Nicosia, North Cyprus, Turkey;2. Department of Industrial Engineering, Faculty of Engineering, Girne American University, via Mersin 10, Kyrenia, North Cyprus, Turkey;1. Private practice, Rome, Italy;2. Associate Professor, Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, Naples, Italy;3. Research Fellow, Department of Surgical Sciences (DISC), University of Genoa, Genoa, Italy;4. Doctoral student, Unit of Oral Surgery, Department of Biomedical, Surgical, and Dental Sciences, St. Paolo and St. Carlo Hospitals, University of Milan, Milan, Italy;5. Aggregate Professor, Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, Naples, Italy;6. Full Professor, Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, Naples, Italy |
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| Abstract: | Dental implant is a medical operation used to restore the functions of damaged or missing teeth. Correct implantation requires the proper selection of size and shape among the implant structures. In this paper, we propose a method of constructing a Web-based decision making system that enables the selection of a suitable type of abutment by taking into account the patient’s anatomical data and preferences that are based on an expert’s knowledge and experience for those patients. After the classification of the types of abutment that can be connected to fixtures of implants, we built a knowledge base and case base library according to the characteristics of osseous tissue and teeth shape to select optimal abutment. Moreover, we introduce a fuzzy cognitive map that takes into consideration expert’s knowledge for factors that affect implantation. After the determination of the cause-and-effect relationship among the concepts of the fuzzy cognitive map, an osseointegration factor with the highest conceptual concentration weight is inferred from the decision making system. In addition, the selection process for abutment is expressed as a decision making tree and then, it is applied for the rule-based reasoning and case-based reasoning. The optimized selection result is finally extracted based on the fuzzy membership function using fuzzy inference. |
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