{"id":"https://openalex.org/W4387251205","doi":"https://doi.org/10.1109/ccis59572.2023.10262882","title":"A Pythagorean fuzzy information acquisition method based on BiLSTM","display_name":"A Pythagorean fuzzy information acquisition method based on BiLSTM","publication_year":2023,"publication_date":"2023-08-12","ids":{"openalex":"https://openalex.org/W4387251205","doi":"https://doi.org/10.1109/ccis59572.2023.10262882"},"language":"en","primary_location":{"id":"doi:10.1109/ccis59572.2023.10262882","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis59572.2023.10262882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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/A5101858074","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-5321-4550"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Jiangxi University of Finance and Economics,School of Statistics and Data Science,Nanchang,China,330013","Key Laboratory of Data Science in Finance and Economics, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi University of Finance and Economics,School of Statistics and Data Science,Nanchang,China,330013","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"Key Laboratory of Data Science in Finance and Economics, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101495759","display_name":"Fen Hu","orcid":"https://orcid.org/0000-0002-1624-6393"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fen Hu","raw_affiliation_strings":["Jiangxi University of Finance and Economics,School of Statistics and Data Science,Nanchang,China,330013"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi University of Finance and Economics,School of Statistics and Data Science,Nanchang,China,330013","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":0.2332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58914139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9904999732971191,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9904999732971191,"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"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9544000029563904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pythagorean-theorem","display_name":"Pythagorean theorem","score":0.8116605281829834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6399920582771301},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5730419754981995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5112931728363037},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33719009160995483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3329218029975891},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20001298189163208}],"concepts":[{"id":"https://openalex.org/C100461760","wikidata":"https://www.wikidata.org/wiki/Q11518","display_name":"Pythagorean theorem","level":2,"score":0.8116605281829834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399920582771301},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5730419754981995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5112931728363037},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33719009160995483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3329218029975891},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20001298189163208},{"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/ccis59572.2023.10262882","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis59572.2023.10262882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1980564456","https://openalex.org/W2013932252","https://openalex.org/W2131774270","https://openalex.org/W2939352329","https://openalex.org/W3009876158","https://openalex.org/W3100772877","https://openalex.org/W3127603591","https://openalex.org/W3135053409","https://openalex.org/W4211007335","https://openalex.org/W4220948854","https://openalex.org/W4220996674","https://openalex.org/W4281571314","https://openalex.org/W4319300362"],"related_works":["https://openalex.org/W2995447873","https://openalex.org/W1802380781","https://openalex.org/W4210969441","https://openalex.org/W4313271080","https://openalex.org/W4378767041","https://openalex.org/W2050612014","https://openalex.org/W3166167233","https://openalex.org/W2387128994","https://openalex.org/W3093594498","https://openalex.org/W2894968817"],"abstract_inverted_index":{"The":[0,21],"paper":[1],"presents":[2],"a":[3,13],"method":[4,22,83,108],"to":[5,35,53],"obtain":[6],"Pythagorean":[7,73],"fuzzy":[8,74],"information":[9],"(PFI)":[10],"based":[11,67],"on":[12,68],"bidirectional":[14],"long":[15],"short-term":[16],"memory":[17],"(BiLSTM)":[18],"neural":[19,48],"network.":[20],"first":[23],"uses":[24],"the":[25,37,55,59,63,69,81,106],"Word2Vec":[26],"word":[27],"embedding":[28],"model":[29],"for":[30],"vectorized":[31],"text":[32],"pre-processing.":[33],"Then,":[34],"solve":[36],"problems":[38],"of":[39,58],"one-way":[40],"propagation":[41],"and":[42,72,91,104,113],"gradient":[43],"explosion":[44],"in":[45],"traditional":[46],"recurrent":[47],"networks,":[49],"BiLSTM":[50],"is":[51,65],"used":[52],"extract":[54],"global":[56],"features":[57],"comment":[60],"information.":[61],"Finally,":[62],"PFI":[64],"constructed":[66],"Softmax":[70],"classifier":[71],"set":[75],"definition.":[76],"Experimental":[77],"results":[78],"show":[79],"that":[80],"proposed":[82,107],"can":[84],"accurately":[85],"capture":[86],"online":[87],"reviews\u2019":[88],"satisfaction,":[89],"dissatisfaction,":[90],"hesitation":[92],"sentiment":[93],"tendencies.":[94],"Compared":[95],"with":[96],"other":[97],"methods,":[98],"such":[99],"as":[100],"RNN,":[101],"CNN,":[102],"LSTM,":[103],"GRU,":[105],"has":[109],"higher":[110],"accuracy,":[111],"precision,":[112],"F1":[114],"values.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
