{"id":"https://openalex.org/W2085414673","doi":"https://doi.org/10.1109/icicis.2010.5534773","title":"Rule selection for knowledge-based product design","display_name":"Rule selection for knowledge-based product design","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2085414673","doi":"https://doi.org/10.1109/icicis.2010.5534773","mag":"2085414673"},"language":"en","primary_location":{"id":"doi:10.1109/icicis.2010.5534773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicis.2010.5534773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 3rd International Conference on Information Sciences and Interaction Sciences","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017433810","display_name":"Kyoung\u2010Yun Kim","orcid":"https://orcid.org/0000-0002-9440-5978"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kyoung-Yun Kim","raw_affiliation_strings":["Department of Industrial & Manufacturing Engineering, Wayne State University, Detroit, USA","Dept of Ind & Mnfg Engg, Wayne State University, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial & Manufacturing Engineering, Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Dept of Ind & Mnfg Engg, Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887792","display_name":"Keunho Choi","orcid":"https://orcid.org/0009-0009-1343-2500"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keunho Choi","raw_affiliation_strings":["Department of Industrial & Manufacturing Engineering, Wayne State University, Detroit, USA","Dept of Ind & Mnfg Engg, Wayne State University, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial & Manufacturing Engineering, Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Dept of Ind & Mnfg Engg, Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377806","display_name":"Jihoon Kim","orcid":"https://orcid.org/0000-0002-6391-8711"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jihoon Kim","raw_affiliation_strings":["Department of Industrial & Manufacturing Engineering, Wayne State University, Detroit, USA","Dept of Ind & Mnfg Engg, Wayne State University, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial & Manufacturing Engineering, Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Dept of Ind & Mnfg Engg, Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088891802","display_name":"Ohbyung Kwon","orcid":"https://orcid.org/0000-0001-9686-6586"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ohbyung Kwon","raw_affiliation_strings":["Department of Info & Decision System, San Diego State University, San Diego, CA, USA","Dept of Info & Decision Sys, San Diego State University, San Diego, CA"],"affiliations":[{"raw_affiliation_string":"Department of Info & Decision System, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]},{"raw_affiliation_string":"Dept of Info & Decision Sys, San Diego State University, San Diego, CA","institution_ids":["https://openalex.org/I26538001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017433810"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":0.3345,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62514516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"518","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reduct","display_name":"Reduct","score":0.9139706492424011},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7680701017379761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67787104845047},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5246560573577881},{"id":"https://openalex.org/keywords/product-design","display_name":"Product design","score":0.5130668878555298},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.5123170614242554},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5118869543075562},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5043348073959351},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4996027946472168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4870052933692932},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4866422116756439},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35044747591018677},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3448645770549774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3374832570552826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2046424150466919},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07830172777175903}],"concepts":[{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.9139706492424011},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7680701017379761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67787104845047},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5246560573577881},{"id":"https://openalex.org/C120823896","wikidata":"https://www.wikidata.org/wiki/Q1043226","display_name":"Product design","level":3,"score":0.5130668878555298},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.5123170614242554},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5118869543075562},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5043348073959351},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4996027946472168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4870052933692932},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4866422116756439},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35044747591018677},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3448645770549774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3374832570552826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2046424150466919},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07830172777175903},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icicis.2010.5534773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicis.2010.5534773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 3rd International Conference on Information Sciences and Interaction Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W61743224","https://openalex.org/W1550261110","https://openalex.org/W1557923305","https://openalex.org/W1971722980","https://openalex.org/W1971870430","https://openalex.org/W1975701690","https://openalex.org/W1992753815","https://openalex.org/W2029987748","https://openalex.org/W2076017634","https://openalex.org/W2133387757","https://openalex.org/W2137079713","https://openalex.org/W2143451122","https://openalex.org/W2159821738","https://openalex.org/W2160188693","https://openalex.org/W2345897113","https://openalex.org/W2570343052","https://openalex.org/W2730486341","https://openalex.org/W3037248084","https://openalex.org/W4248793972","https://openalex.org/W6602538676","https://openalex.org/W6704655541","https://openalex.org/W6740679339"],"related_works":["https://openalex.org/W3013418296","https://openalex.org/W2354227702","https://openalex.org/W2369301332","https://openalex.org/W2381679723","https://openalex.org/W2145825375","https://openalex.org/W2356285081","https://openalex.org/W2109806455","https://openalex.org/W1984319728","https://openalex.org/W2125753160","https://openalex.org/W2163171169"],"abstract_inverted_index":{"Knowledge-intensive":[0],"and":[1,40,89,109],"collaborative":[2],"environment":[3],"becomes":[4],"more":[5],"significant":[6],"in":[7],"the":[8,21,122],"modern":[9],"product":[10,17,33],"development.":[11],"To":[12],"realize":[13],"a":[14,47,65],"true":[15],"knowledge-based":[16],"design":[18,24,34,43,58],"environment,":[19],"however,":[20],"complexity":[22],"of":[23,50,75,82,103],"constraint":[25],"is":[26,44,52,119],"still":[27],"cumbersome":[28],"issue":[29],"to":[30,54,63,70],"tackle.":[31],"Typically,":[32],"information":[35],"comes":[36],"from":[37,99],"various":[38],"sources":[39],"rapidly":[41],"changes;":[42],"evolutionary.":[45],"Thus,":[46],"minimal":[48,73],"set":[49,74,78],"rules":[51],"required":[53],"make":[55],"an":[56],"appropriate":[57],"decision.":[59],"This":[60],"paper":[61],"aims":[62],"present":[64],"rule":[66,115],"reduct":[67,116],"based":[68,105,117,125],"approach":[69,118],"select":[71],"systematically":[72],"rules.":[76],"Rough":[77],"theory":[79],"synthesizes":[80],"approximation":[81],"concepts,":[83],"analyzes":[84],"data":[85,100],"by":[86,101],"discovering":[87],"patterns,":[88],"classifies":[90],"into":[91],"certain":[92],"decision":[93],"classes,":[94],"which":[95],"can":[96],"be":[97],"extracted":[98],"means":[102],"methods":[104],"on":[106],"Boolean":[107],"reasoning":[108],"discernibility.":[110],"In":[111],"this":[112,114],"paper,":[113],"compared":[120],"with":[121],"absorption":[123],"theorem":[124],"approach.":[126]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}