{"id":"https://openalex.org/W2612360020","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015423","title":"Decision making problem solving using fuzzy networks with rule base aggregation","display_name":"Decision making problem solving using fuzzy networks with rule base aggregation","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2612360020","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015423","mag":"2612360020"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5063943977","display_name":"Abdul Malek Yaakob","orcid":"https://orcid.org/0000-0002-9394-6393"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]},{"id":"https://openalex.org/I94625822","display_name":"Northern University of Malaysia","ror":"https://ror.org/01ss10648","country_code":"MY","type":"education","lineage":["https://openalex.org/I94625822"]}],"countries":["GB","MY"],"is_corresponding":true,"raw_author_name":"Abdul Malek Yaakob","raw_affiliation_strings":["School of Computing, University of Portsmouth, United Kingdom","School of Quantitative Sciences, Universiti Utara Malaysia, Kedah, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, United Kingdom","institution_ids":["https://openalex.org/I63072094"]},{"raw_affiliation_string":"School of Quantitative Sciences, Universiti Utara Malaysia, Kedah, Malaysia","institution_ids":["https://openalex.org/I94625822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016380950","display_name":"Alexander Gegov","orcid":"https://orcid.org/0000-0002-6166-296X"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander Gegov","raw_affiliation_strings":["School of Computing, University of Portsmouth, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, United Kingdom","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103754416","display_name":"Siti Fatimah Abdul Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siti Fatimah Abdul Rahman","raw_affiliation_strings":["Universiti Teknologi MARA, Shah Alam, Selangor, MY"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Shah Alam, Selangor, MY","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063943977"],"corresponding_institution_ids":["https://openalex.org/I63072094","https://openalex.org/I94625822"],"apc_list":null,"apc_paid":null,"fwci":0.2583,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60435275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9997000098228455,"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":0.9997000098228455,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9818999767303467,"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":0.9664999842643738,"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/topsis","display_name":"TOPSIS","score":0.6981269121170044},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6045721769332886},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5629319548606873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5305821299552917},{"id":"https://openalex.org/keywords/ideal-solution","display_name":"Ideal solution","score":0.4972381889820099},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4958740174770355},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4808303117752075},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4641173481941223},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45267391204833984},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.4463707506656647},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4234685003757477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3750573396682739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37229791283607483},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.29404470324516296},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.2348678708076477}],"concepts":[{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.6981269121170044},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6045721769332886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5629319548606873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5305821299552917},{"id":"https://openalex.org/C89591040","wikidata":"https://www.wikidata.org/wiki/Q1779030","display_name":"Ideal solution","level":2,"score":0.4972381889820099},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4958740174770355},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4808303117752075},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4641173481941223},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45267391204833984},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.4463707506656647},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4234685003757477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3750573396682739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37229791283607483},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.29404470324516296},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2348678708076477},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/ffba5e5c-509c-4829-9cba-8b49c12a57e3","is_oa":false,"landing_page_url":"https://researchportal.port.ac.uk/portal/en/publications/decision-making-problem-solving-using-fuzzy-networks-with-rule-base-aggregation(ffba5e5c-509c-4829-9cba-8b49c12a57e3).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2042102899","https://openalex.org/W2103897964","https://openalex.org/W2133585413","https://openalex.org/W2173975327","https://openalex.org/W2282407434","https://openalex.org/W2337669069","https://openalex.org/W2501357522","https://openalex.org/W2550242578","https://openalex.org/W2551633086","https://openalex.org/W2598442023","https://openalex.org/W6679835187","https://openalex.org/W6703416769","https://openalex.org/W6735346259"],"related_works":["https://openalex.org/W2293394021","https://openalex.org/W2347675019","https://openalex.org/W2367947563","https://openalex.org/W2890644467","https://openalex.org/W2612149696","https://openalex.org/W4387430003","https://openalex.org/W1990029659","https://openalex.org/W3135485754","https://openalex.org/W2884422668","https://openalex.org/W2560304016"],"abstract_inverted_index":{"This":[0,108],"paper":[1],"presents":[2],"a":[3,84],"novel":[4],"extension":[5],"of":[6,11,26,32,35,61,80,114,170],"the":[7,33,55,59,70,88,102,106,112,115,132,146,160,164],"Technique":[8],"for":[9,64,72,92,105],"Ordering":[10],"Preference":[12],"by":[13,145],"Similarity":[14],"to":[15,38,95,124],"Ideal":[16],"Solution":[17],"(TOPSIS)":[18],"method.":[19],"The":[20,78,142,156],"method":[21,134,147,162],"is":[22,135,148],"based":[23],"on":[24,138],"aggregation":[25,79],"rules":[27,94],"with":[28],"different":[29],"linguistic":[30],"values":[31],"output":[34,104],"fuzzy":[36,85,89,98],"networks":[37],"solve":[39],"multi":[40],"criteria":[41,49],"decision-making":[42],"problems":[43],"whereby":[44],"both":[45,73],"benefit":[46,74],"and":[47,67,75,130],"cost":[48,76],"are":[50],"presented":[51],"as":[52],"subsystems.":[53],"Thus":[54],"decision":[56,65],"maker":[57],"evaluates":[58],"performance":[60,71],"each":[62],"alternative":[63],"process":[66],"further":[68,136],"observes":[69],"criteria.":[77],"rule":[81],"bases":[82],"in":[83,122,168],"system":[86],"maps":[87],"membership":[90,99],"functions":[91],"all":[93],"an":[96],"aggregated":[97],"function":[100],"representing":[101],"overall":[103],"rules.":[107],"approach":[109],"improves":[110],"significantly":[111],"transparency":[113],"TOPSIS":[116,166],"methods,":[117],"while":[118],"ensuring":[119],"high":[120],"effectiveness":[121],"comparison":[123],"established":[125],"approaches.":[126],"To":[127],"ensure":[128],"practicality":[129],"effectiveness,":[131],"proposed":[133,161],"tested":[137],"equity":[139],"selection":[140],"problems.":[141],"ranking":[143],"produced":[144],"comparatively":[149],"validated":[150],"using":[151],"Spearman":[152],"rho":[153],"rank":[154],"correlation.":[155],"results":[157],"show":[158],"that":[159],"outperforms":[163],"existing":[165],"approaches":[167],"terms":[169],"ranking.":[171]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}