{"id":"https://openalex.org/W4399418895","doi":"https://doi.org/10.1145/3651671.3651692","title":"Parameter Automatic Generation Method For Extended Belief Rule Base","display_name":"Parameter Automatic Generation Method For Extended Belief Rule Base","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418895","doi":"https://doi.org/10.1145/3651671.3651692"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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/A5071844761","display_name":"Yunxia Zhang","orcid":"https://orcid.org/0000-0002-6134-0821"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunxia Zhang","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhuang Tiedao university, China"],"raw_orcid":"https://orcid.org/0000-0002-6134-0821","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhuang Tiedao university, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022909430","display_name":"Bingtao Wu","orcid":"https://orcid.org/0009-0008-8950-741X"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingtao Wu","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhuang Tiedao university, China"],"raw_orcid":"https://orcid.org/0009-0008-8950-741X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhuang Tiedao university, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tian Luo","orcid":"https://orcid.org/0009-0007-0760-6039"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Luo","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhuang Tiedao university, China"],"raw_orcid":"https://orcid.org/0009-0007-0760-6039","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhuang Tiedao university, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773963","display_name":"Jing Bai","orcid":"https://orcid.org/0000-0002-9280-4190"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Bai","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhuang Tiedao university, China"],"raw_orcid":"https://orcid.org/0000-0002-9280-4190","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhuang Tiedao university, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071844761"],"corresponding_institution_ids":["https://openalex.org/I90090648"],"apc_list":null,"apc_paid":null,"fwci":0.3311,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62718202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9837999939918518,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9837999939918518,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9825000166893005,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9353842735290527},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.776775598526001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750426173210144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.654202938079834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5856482982635498},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.566383957862854},{"id":"https://openalex.org/keywords/rule-of-inference","display_name":"Rule of inference","score":0.4967823624610901},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4867253601551056},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4588629901409149},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4224774241447449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3728719651699066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12846854329109192},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.06658363342285156},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06294998526573181}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9353842735290527},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.776775598526001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750426173210144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654202938079834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5856482982635498},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.566383957862854},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.4967823624610901},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4867253601551056},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4588629901409149},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4224774241447449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3728719651699066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12846854329109192},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.06658363342285156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06294998526573181},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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":10,"referenced_works":["https://openalex.org/W1985531813","https://openalex.org/W2055122450","https://openalex.org/W2140364226","https://openalex.org/W2803811832","https://openalex.org/W2991602644","https://openalex.org/W3009509197","https://openalex.org/W3090176253","https://openalex.org/W3120010474","https://openalex.org/W3215976313","https://openalex.org/W4317470263"],"related_works":["https://openalex.org/W3203330043","https://openalex.org/W1584374742","https://openalex.org/W2119264717","https://openalex.org/W102683223","https://openalex.org/W2710049634","https://openalex.org/W1559068841","https://openalex.org/W2047356095","https://openalex.org/W1984225148","https://openalex.org/W2547621624","https://openalex.org/W146952150"],"abstract_inverted_index":{"The":[0,74],"extended":[1,69],"belief":[2],"rule-based":[3],"system":[4],"(EBRB)":[5],"has":[6,19,27],"great":[7],"interpretability":[8],"and":[9,14,26,84,111],"the":[10,44,80,85,88,92,96,103],"ability":[11],"to":[12,41,95],"represent":[13],"infer":[15],"uncertain":[16],"knowledge,":[17],"which":[18,49],"attracted":[20],"much":[21],"attention":[22],"in":[23,31],"recent":[24],"years":[25],"been":[28],"widely":[29],"used":[30],"classification":[32,113],"problems.":[33,114],"However,":[34],"it":[35],"is":[36,79],"very":[37],"difficult":[38],"for":[39,64,122],"experts":[40],"directly":[42],"determine":[43],"parameters":[45,93],"of":[46,77],"EBRB":[47,65,81,110],"rationally,":[48],"greatly":[50],"affects":[51],"its":[52],"performance.":[53],"To":[54],"solve":[55,112],"this":[56,58,117],"problem,":[57],"study":[59,118],"proposes":[60],"an":[61],"inference":[62,71,82],"network":[63,72],"automatic":[66],"generation":[67],"called":[68],"rule":[70],"(ERIN).":[73],"feedforward":[75],"process":[76,90],"ERIN":[78],"mechanism":[83],"ER":[86],"approach;":[87],"feedback":[89],"adjusts":[91],"according":[94],"gradient":[97],"algorithm.":[98],"Experimental":[99],"results":[100],"demonstrate":[101],"that":[102],"proposed":[104],"method":[105],"can":[106],"effectively":[107],"generate":[108],"rational":[109],"In":[115],"addition,":[116],"suggests":[119],"new":[120],"trends":[121],"interpretable":[123],"networks":[124],"based":[125],"on":[126],"EBRB.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
