{"id":"https://openalex.org/W2563931786","doi":"https://doi.org/10.1504/ijads.2016.10001996","title":"A stochastic non-expected utility for modelling human errors of certainty equivalents","display_name":"A stochastic non-expected utility for modelling human errors of certainty equivalents","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2563931786","doi":"https://doi.org/10.1504/ijads.2016.10001996","mag":"2563931786"},"language":"en","primary_location":{"id":"doi:10.1504/ijads.2016.10001996","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijads.2016.10001996","pdf_url":null,"source":{"id":"https://openalex.org/S12980254","display_name":"International Journal of Applied Decision Sciences","issn_l":"1755-8077","issn":["1755-8077","1755-8085"],"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 Applied Decision Sciences","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/A5072196694","display_name":"Khaled Alkhaledi","orcid":null},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":true,"raw_author_name":"Khaled A. Alkhaledi","raw_affiliation_strings":["Industrial and Management Systems Engineering Department, College of Engineering and Petroleum, Kuwait University, Kuwait"],"affiliations":[{"raw_affiliation_string":"Industrial and Management Systems Engineering Department, College of Engineering and Petroleum, Kuwait University, Kuwait","institution_ids":["https://openalex.org/I36721946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006366672","display_name":"Doraid Dalalah","orcid":"https://orcid.org/0000-0002-0055-3508"},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Doraid Dalalah","raw_affiliation_strings":["Industrial and Management Systems Engineering Department, College of Engineering and Petroleum, Kuwait University, Kuwait"],"affiliations":[{"raw_affiliation_string":"Industrial and Management Systems Engineering Department, College of Engineering and Petroleum, Kuwait University, Kuwait","institution_ids":["https://openalex.org/I36721946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072196694"],"corresponding_institution_ids":["https://openalex.org/I36721946"],"apc_list":null,"apc_paid":null,"fwci":0.7181,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.788264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"3","first_page":"307","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9297999739646912,"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":0.9297999739646912,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9067000150680542,"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/certainty","display_name":"Certainty","score":0.902051568031311},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.6164396405220032},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.6143174171447754},{"id":"https://openalex.org/keywords/expected-utility-hypothesis","display_name":"Expected utility hypothesis","score":0.5800428986549377},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5177306532859802},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5045384168624878},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.4404871165752411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4069528877735138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32801318168640137},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3063468933105469},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.22587153315544128},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12333086133003235},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.11417827010154724}],"concepts":[{"id":"https://openalex.org/C7493553","wikidata":"https://www.wikidata.org/wiki/Q1520777","display_name":"Certainty","level":2,"score":0.902051568031311},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.6164396405220032},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.6143174171447754},{"id":"https://openalex.org/C205706631","wikidata":"https://www.wikidata.org/wiki/Q2319304","display_name":"Expected utility hypothesis","level":2,"score":0.5800428986549377},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5177306532859802},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5045384168624878},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.4404871165752411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4069528877735138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32801318168640137},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3063468933105469},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.22587153315544128},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12333086133003235},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.11417827010154724},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijads.2016.10001996","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijads.2016.10001996","pdf_url":null,"source":{"id":"https://openalex.org/S12980254","display_name":"International Journal of Applied Decision Sciences","issn_l":"1755-8077","issn":["1755-8077","1755-8085"],"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 Applied Decision Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W214207692","https://openalex.org/W1985191333","https://openalex.org/W3123347432","https://openalex.org/W1545084005","https://openalex.org/W2076806077","https://openalex.org/W2393614406","https://openalex.org/W3120827028","https://openalex.org/W2179412118","https://openalex.org/W3004290704","https://openalex.org/W2330582382"],"abstract_inverted_index":{"When":[0],"a":[1,5,99,114,182],"decision":[2,6,53,63,131,157,162],"maker":[3,64,163],"encounters":[4],"making":[7,158],"problem":[8],"of":[9,21,46,55,80,105,107,144,171,186],"uncertain":[10,56],"outcomes,":[11,82],"he/she":[12],"tends":[13],"to":[14,59,73,101,124],"estimate":[15],"the":[16,22,27,34,47,62,74,78,81,86,90,103,125,130,145,156,161,169,172,179],"so":[17],"called":[18],"certainty":[19,38,110,127,151],"equivalent":[20,111,128],"anticipated":[23],"rewards,":[24],"which":[25],"resembles":[26],"benefit":[28],"measure":[29],"per":[30],"unit":[31],"increase":[32],"in":[33,41,84],"expected":[35,146],"payoff.":[36],"Such":[37],"estimation":[39],"results":[40],"underestimation":[42],"and":[43,148,191],"sometimes":[44],"overestimation":[45],"possible":[48],"rewards.":[49],"Hence,":[50],"when":[51,160],"two":[52],"problems":[54],"outcomes":[57],"are":[58,177],"be":[60],"compared,":[61],"may":[65],"unintentionally":[66],"prefer":[67],"one":[68],"alternative":[69],"over":[70],"another":[71],"due":[72],"risk":[75,165,190],"imposed":[76],"by":[77,112,129],"uncertainty":[79],"while":[83],"reality":[85],"best":[87],"choice":[88],"is":[89,136,164],"other":[91],"way":[92],"around.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,153],"present":[98],"model":[100,118,180],"resolve":[102,155],"complications":[104],"overestimation/underestimation":[106],"an":[108,121],"individual's":[109],"introducing":[113],"stochastic":[115,142],"non-excepted":[116],"utility":[117,147],"that":[119],"adds":[120],"error":[122,134],"component":[123],"estimated":[126],"maker.":[132],"The":[133],"distribution":[135],"optimised":[137],"via":[138],"training":[139],"datasets.":[140],"By":[141],"representation":[143],"its":[149],"corresponding":[150],"equivalent,":[152],"can":[154],"situations":[159],"averse/seeker.":[166],"To":[167],"demonstrate":[168],"merits":[170],"presented":[173],"model,":[174],"different":[175],"datasets":[176],"tested;":[178],"shows":[181],"remarkable":[183],"prediction":[184],"capability":[185],"human":[187],"choices":[188],"under":[189],"uncertainty.":[192]},"counts_by_year":[{"year":2019,"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"}