{"id":"https://openalex.org/W3162103595","doi":"https://doi.org/10.1142/s1469026821500097","title":"Decision Support System Based on Fuzzy Logic for Assessment of Expected Corporate Income Performance","display_name":"Decision Support System Based on Fuzzy Logic for Assessment of Expected Corporate Income Performance","publication_year":2021,"publication_date":"2021-05-19","ids":{"openalex":"https://openalex.org/W3162103595","doi":"https://doi.org/10.1142/s1469026821500097","mag":"3162103595"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026821500097","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026821500097","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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":"https://openalex.org/A5030147507","display_name":"Arthur Yosef","orcid":"https://orcid.org/0000-0002-7346-1452"},"institutions":[{"id":"https://openalex.org/I4210141777","display_name":"Academic College of Tel Aviv-Yafo","ror":"https://ror.org/04cg6c004","country_code":"IL","type":"education","lineage":["https://openalex.org/I4210141777"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Arthur Yosef","raw_affiliation_strings":["Tel Aviv-Yaffo Academic College, Tel Aviv-Yaffo, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv-Yaffo Academic College, Tel Aviv-Yaffo, Israel","institution_ids":["https://openalex.org/I4210141777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112012664","display_name":"Eli Shnaider","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eli Shnaider","raw_affiliation_strings":["Israel"],"affiliations":[{"raw_affiliation_string":"Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090129139","display_name":"Rimona Palas","orcid":"https://orcid.org/0000-0003-3998-1048"},"institutions":[{"id":"https://openalex.org/I4210141944","display_name":"College of Law and Business","ror":"https://ror.org/04wymav61","country_code":"IL","type":"nonprofit","lineage":["https://openalex.org/I4210141944"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Rimona Palas","raw_affiliation_strings":["College of Law and Business, Ramat \u2013 Gan, Israel"],"affiliations":[{"raw_affiliation_string":"College of Law and Business, Ramat \u2013 Gan, Israel","institution_ids":["https://openalex.org/I4210141944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046818356","display_name":"Amos Baranes","orcid":null},"institutions":[{"id":"https://openalex.org/I3131684620","display_name":"Peres Academic Center","ror":"https://ror.org/00ge2jh15","country_code":"IL","type":"education","lineage":["https://openalex.org/I3131684620"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Amos Baranes","raw_affiliation_strings":["Peres Academic Center, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"Peres Academic Center, Rehovot, Israel","institution_ids":["https://openalex.org/I3131684620"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030147507"],"corresponding_institution_ids":["https://openalex.org/I4210141777"],"apc_list":null,"apc_paid":null,"fwci":0.1743,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51151886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"20","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","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/T11326","display_name":"Stock Market Forecasting Methods","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"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8059566020965576},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6733859181404114},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.6039968729019165},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5250149369239807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4610286355018616},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4495505094528198},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.44901132583618164},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.43528419733047485},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4223596751689911},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.369268000125885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3444634675979614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33114975690841675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11266595125198364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8059566020965576},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6733859181404114},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.6039968729019165},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5250149369239807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4610286355018616},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4495505094528198},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.44901132583618164},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.43528419733047485},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4223596751689911},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.369268000125885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3444634675979614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33114975690841675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11266595125198364},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026821500097","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026821500097","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W403287242","https://openalex.org/W1259090559","https://openalex.org/W1587495690","https://openalex.org/W1670923411","https://openalex.org/W1964469396","https://openalex.org/W2002775973","https://openalex.org/W2017685216","https://openalex.org/W2025053102","https://openalex.org/W2039594318","https://openalex.org/W2044471774","https://openalex.org/W2066795664","https://openalex.org/W2081864176","https://openalex.org/W2097752063","https://openalex.org/W2115682519","https://openalex.org/W2128490915","https://openalex.org/W2148965563","https://openalex.org/W2249458377","https://openalex.org/W2400521169","https://openalex.org/W2506824403","https://openalex.org/W2545584727","https://openalex.org/W2559264616","https://openalex.org/W2773057751","https://openalex.org/W2794341004","https://openalex.org/W2913037869","https://openalex.org/W2997193501","https://openalex.org/W3015726753","https://openalex.org/W4211007335","https://openalex.org/W4233997223"],"related_works":["https://openalex.org/W185470268","https://openalex.org/W2961085424","https://openalex.org/W2379533788","https://openalex.org/W2368066043","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W2063862107","https://openalex.org/W2369239865","https://openalex.org/W2182272626"],"abstract_inverted_index":{"This":[0,66],"study":[1],"presents":[2],"a":[3,22,88,118,135],"decision-support":[4],"method":[5,108],"to":[6,73,93,101,104,111,116],"estimate":[7,34],"the":[8,29,62,69,95,107,160,189,194],"next":[9],"year":[10,59],"performance":[11],"of":[12,25,39,68,81,87,90,153,156,180],"corporate":[13],"Operating":[14],"Income":[15],"Margin":[16],"(OIM).":[17],"It":[18],"is":[19,35,49,57,114,126,134],"based":[20,140],"on":[21,141],"unique":[23],"combination":[24],"cross-section":[26],"model":[27,48,70],"and":[28,42,144,159,174],"rules-based":[30],"evaluation":[31,84],"mechanism.":[32],"The":[33,47,83],"done":[36],"in":[37],"terms":[38],"broad":[40],"categories,":[41],"not":[43],"precise":[44],"numerical":[45],"values.":[46,154],"constructed":[50],"as":[51,77],"follows:":[52],"its":[53],"dependent":[54],"variable":[55],"(OIM)":[56],"one":[58],"ahead":[60],"vs.":[61],"corresponding":[63],"explanatory":[64,75],"variables.":[65],"structure":[67],"allows":[71],"us":[72],"view":[74],"variables":[76,149],"reflecting":[78],"financial":[79],"potential":[80],"corporations.":[82],"component":[85],"consists":[86],"set":[89],"rules":[91],"designed":[92],"identify":[94],"companies":[96],"whose":[97],"\u201cpotential\u201d":[98],"clearly":[99],"points":[100],"an":[102],"opportunity":[103],"invest.":[105],"For":[106],"presented":[109],"here":[110],"succeed,":[112],"it":[113,125],"necessary":[115],"utilize":[117,145],"highly":[119],"reliable":[120],"modeling":[121,138,162],"method,":[122],"even":[123],"if":[124],"\u201cFuzzy\u201d.":[127],"We":[128],"apply":[129],"Soft":[130,136],"Regression":[131],"(SR),":[132],"which":[133],"Computing":[137],"tool":[139],"Fuzzy":[142],"Logic,":[143],"all":[146],"available":[147],"proxy":[148],"by":[150],"creating":[151],"intervals":[152],"Advantages":[155],"utilizing":[157],"SR,":[158],"intervals\u2019-based":[161],"are":[163,172],"extensively":[164],"discussed.":[165],"Modeling":[166],"results":[167],"for":[168,188],"five":[169],"consecutive":[170],"years":[171],"consistent":[173],"stable,":[175],"thus":[176],"indicating":[177],"high":[178,185],"degree":[179],"reliability.":[181],"Testing":[182],"indicates":[183],"very":[184],"success":[186],"rate":[187],"stock":[190],"market":[191],"related":[192],"domain,":[193],"lowest":[195],"being":[196],"87.9%.":[197]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
