{"id":"https://openalex.org/W3017268696","doi":"https://doi.org/10.1109/ifuzzy46984.2019.9066240","title":"Uncertain Preference Assessment using Familiar Alternatives to Decision Maker","display_name":"Uncertain Preference Assessment using Familiar Alternatives to Decision Maker","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3017268696","doi":"https://doi.org/10.1109/ifuzzy46984.2019.9066240","mag":"3017268696"},"language":"en","primary_location":{"id":"doi:10.1109/ifuzzy46984.2019.9066240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy46984.2019.9066240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","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/A5038499933","display_name":"Tomoe Entani","orcid":"https://orcid.org/0000-0003-0859-6446"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoe Entani","raw_affiliation_strings":["Graduate School of Applied Informat\u00edcs, University of Hyogo, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Applied Informat\u00edcs, University of Hyogo, Kobe, Japan","institution_ids":["https://openalex.org/I180941496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038499933"],"corresponding_institution_ids":["https://openalex.org/I180941496"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25536383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9993000030517578,"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":0.9993000030517578,"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/preference","display_name":"Preference","score":0.8315314054489136},{"id":"https://openalex.org/keywords/preference-relation","display_name":"Preference relation","score":0.7490078210830688},{"id":"https://openalex.org/keywords/analytic-hierarchy-process","display_name":"Analytic hierarchy process","score":0.7125205993652344},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.7056475877761841},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.624371349811554},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.5160710215568542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5099660158157349},{"id":"https://openalex.org/keywords/weight","display_name":"Weight","score":0.5094791054725647},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5084904432296753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4689476191997528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4425183832645416},{"id":"https://openalex.org/keywords/decision-analysis","display_name":"Decision analysis","score":0.42416250705718994},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.41969093680381775},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3236294984817505},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.23386061191558838},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2015296220779419},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11791488528251648}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.8315314054489136},{"id":"https://openalex.org/C2777062324","wikidata":"https://www.wikidata.org/wiki/Q25036211","display_name":"Preference relation","level":3,"score":0.7490078210830688},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.7125205993652344},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.7056475877761841},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.624371349811554},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.5160710215568542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5099660158157349},{"id":"https://openalex.org/C183877218","wikidata":"https://www.wikidata.org/wiki/Q7979858","display_name":"Weight","level":3,"score":0.5094791054725647},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5084904432296753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4689476191997528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4425183832645416},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.42416250705718994},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.41969093680381775},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3236294984817505},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.23386061191558838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2015296220779419},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11791488528251648},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C51568863","wikidata":"https://www.wikidata.org/wiki/Q664495","display_name":"Lie algebra","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifuzzy46984.2019.9066240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy46984.2019.9066240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.49000000953674316,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1974868221","https://openalex.org/W1987347924","https://openalex.org/W1987645937","https://openalex.org/W2012955605","https://openalex.org/W2021279654","https://openalex.org/W2049117050","https://openalex.org/W2051070525","https://openalex.org/W2063427286","https://openalex.org/W2084172034","https://openalex.org/W2091047027","https://openalex.org/W2168936936","https://openalex.org/W2296605689","https://openalex.org/W2497512912","https://openalex.org/W2521231291","https://openalex.org/W2599863884","https://openalex.org/W2769089342","https://openalex.org/W2884506728"],"related_works":["https://openalex.org/W2042930332","https://openalex.org/W2295963756","https://openalex.org/W2109209819","https://openalex.org/W1566879593","https://openalex.org/W2113650128","https://openalex.org/W2079136887","https://openalex.org/W1502851707","https://openalex.org/W2129281635","https://openalex.org/W2080494333","https://openalex.org/W2254676691"],"abstract_inverted_index":{"In":[0],"Analytic":[1],"Hierarchy":[2],"Process":[3],"(AHP),":[4],"a":[5,39,81,93,97,131,137,167,171],"decision":[6,40,82,98],"problem":[7],"is":[8,23,63,110,128],"structured":[9],"hierarchically":[10],"with":[11],"the":[12,21,26,33,36,47,54,68,71,117,120,143,155],"criteria":[13,62,72,135],"and":[14,65,158,170],"alternatives.":[15,58,69],"The":[16,59,126],"propriety":[17],"weight":[18],"vector":[19,133,150,169,173],"of":[20,28,35,49,57,67,134,151,165],"alternatives":[22,121,153],"obtained":[24],"as":[25,46,130],"sums":[27],"their":[29,159],"local":[30,161],"weights":[31],"considering":[32],"importance":[34,48],"criteria.":[37],"Once":[38],"maker":[41,83,99],"finds":[42],"out":[43,102],"his/her":[44,103,107],"preference":[45,60,104,127,157,168],"criteria,":[50],"s/he":[51,123],"can":[52],"evaluate":[53],"other":[55],"sets":[56],"for":[61,80,113],"essential":[64],"independent":[66],"However,":[70],"are":[73,174],"intangible":[74],"so":[75],"that":[76,122],"it":[77],"sometimes":[78],"difficult":[79],"to":[84,95,100,115,145],"give":[85,116],"judgments":[86,118],"on":[87,106,119,176],"them":[88],"directly.":[89],"Hence,":[90],"we":[91],"propose":[92,142],"method":[94],"help":[96],"find":[101],"based":[105,175],"experience.":[108],"It":[109],"much":[111],"easier":[112],"him/her":[114],"knows":[124],"well.":[125],"denoted":[129],"fuzzy":[132],"from":[136,154],"possibilistic":[138],"view.":[139],"We":[140],"also":[141],"model":[144],"obtain":[146],"an":[147],"interval":[148,177],"score":[149,172],"new":[152],"derived":[156],"given":[160],"scores.":[162],"Both":[163],"models":[164],"deriving":[166],"inclusion":[178],"relation.":[179]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
