乐胖代购免代理版

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Usually, cutter planning and control problems were addressed using different optimization, simulation, and computer-aided planning (CAP) methods. To bridge this knowledge gap, this study proposed a decision support system (DSS) that can integrate fuzzy case-based reasoning (F-CBR) and fuzzy analytic hierarchy process (F-AHP) methods. This integration was applied to determine hybrid similarity measures between new and prior cases. The study provides new insights into the integration of fuzzy set theory (FST), CBR, and AHP for solving machining cutter planning and control problems. Our proposed system retrieves the best similar prior cases to reuse and adapt them to new order arrivals. A numerical example was illustrated to validate the soundness of the researched DSS.<\/jats:p>","DOI":"10.1155\/2023\/8072930","type":"journal-article","created":{"date-parts":[[2023,10,13]],"date-time":"2023-10-13T15:05:09Z","timestamp":1697209509000},"page":"1-17","source":"Crossref","is-referenced-by-count":1,"title":["Application of Fuzzy Case-Based Reasoning and Fuzzy Analytic Hierarchy Process for Machining Cutter Planning and Control"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-8872-5035","authenticated-orcid":true,"given":"Fentahun Moges","family":"Kasie","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Institute of Technology, Hawassa University, Hawassa, Ethiopia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4386-0329","authenticated-orcid":true,"given":"Glen","family":"Bright","sequence":"additional","affiliation":[{"name":"Mechanical Engineering Department, University of KwaZulu-Natal, Durban, South Africa"}]}],"member":"98","reference":[{"issue":"2","key":"1","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1108\/JMTM-08-2016-0116","article-title":"An intelligent decision support system for on-demand fixture retrieval, adaptation, and manufacture","volume":"28","author":"F. 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