{"id":"https://openalex.org/W4245683553","doi":"https://doi.org/10.1504/ijiids.2016.10002514","title":"A hybrid neuro-fuzzy system-based ranking function and its application to effective medical information retrieval","display_name":"A hybrid neuro-fuzzy system-based ranking function and its application to effective medical information retrieval","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W4245683553","doi":"https://doi.org/10.1504/ijiids.2016.10002514"},"language":"en","primary_location":{"id":"doi:10.1504/ijiids.2016.10002514","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijiids.2016.10002514","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information and Database Systems","raw_type":"journal-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":null,"display_name":"N. Jaisankar","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"N. Jaisankar","raw_affiliation_strings":["School of Computing Science and Engineering, VIT University, Vellore-632014, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computing Science and Engineering, VIT University, Vellore-632014, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101977721","display_name":"P. Gayathri","orcid":"https://orcid.org/0000-0003-1483-2302"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Gayathri","raw_affiliation_strings":["School of Computing Science and Engineering, VIT University, Vellore-632014, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computing Science and Engineering, VIT University, Vellore-632014, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41052974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"3/4","first_page":"248","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.6883999705314636,"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":0.6883999705314636,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.6089000105857849,"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/T13676","display_name":"Educational and Technological Research","score":0.5740000009536743,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7933545112609863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7491598129272461},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6929060220718384},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.621704638004303},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5698409676551819},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49455615878105164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48626673221588135},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.4843674600124359},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4489917457103729},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44579505920410156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4198130965232849},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.41941943764686584}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7933545112609863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491598129272461},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6929060220718384},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.621704638004303},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5698409676551819},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49455615878105164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48626673221588135},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4843674600124359},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4489917457103729},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44579505920410156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4198130965232849},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.41941943764686584},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijiids.2016.10002514","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijiids.2016.10002514","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information and Database Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2315491162","https://openalex.org/W2562198007","https://openalex.org/W2368840343","https://openalex.org/W2031468273","https://openalex.org/W2370100764","https://openalex.org/W4297816538","https://openalex.org/W2187479119","https://openalex.org/W2073542340","https://openalex.org/W3127142483","https://openalex.org/W2108728721"],"abstract_inverted_index":{"Retrieval":[0],"of":[1,20,43,68,139],"reliable":[2],"relevant":[3],"information":[4,11],"is":[5,25,57],"the":[6,18,26,40,110],"major":[7],"concern":[8],"in":[9,39,59,137],"medical":[10,97],"retrieval.":[12],"Among":[13],"all":[14],"factors":[15],"that":[16,109],"affect":[17],"performance":[19],"retrieval":[21],"system,":[22],"ranking":[23,48,54,64,120,128,134],"function":[24,55,65,121,129,135],"most":[27],"important":[28],"factor.":[29],"The":[30,62,105],"retrieved":[31],"documents":[32],"from":[33],"large":[34],"document":[35,69,84,98],"collection":[36],"are":[37,90],"arranged":[38],"decreasing":[41],"order":[42],"their":[44],"relevance":[45,81],"score":[46,82],"by":[47,100],"function.":[49],"A":[50],"neuro-fuzzy":[51],"system-based":[52],"hybrid":[53],"(HRF)":[56],"proposed":[58,63,111],"this":[60],"paper.":[61],"considers":[66],"weight":[67],"and":[70,79,85,94,123,131,142],"query":[71,86],"with":[72,117],"respect":[73],"to":[74],"keyword":[75],"as":[76,87],"input":[77],"features":[78],"gives":[80],"between":[83],"output.":[88],"Experiments":[89],"performed":[91],"on":[92],"OHSUMED":[93],"PMC":[95],"benchmark":[96],"corpus":[99],"using":[101],"15":[102],"experimental":[103,106],"queries.":[104],"results":[107],"prove":[108],"HRF":[112],"performs":[113],"better":[114],"when":[115],"compared":[116],"fuzzy":[118],"logic-based":[119],"(FRF)":[122],"conventional":[124],"statistical":[125],"Euclidean":[126],"distance-based":[127],"(ERF)":[130],"cosine":[132],"similarity-based":[133],"(CRF)":[136],"terms":[138],"precision,":[140],"recall":[141],"F-measure.":[143]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
