{"id":"https://openalex.org/W4405166862","doi":"https://doi.org/10.1108/ijicc-10-2024-0507","title":"Risk assessment of poverty-returning based on hybrid q-rung orthopair fuzzy EDAS and prospect theory","display_name":"Risk assessment of poverty-returning based on hybrid q-rung orthopair fuzzy EDAS and prospect theory","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4405166862","doi":"https://doi.org/10.1108/ijicc-10-2024-0507"},"language":"en","primary_location":{"id":"doi:10.1108/ijicc-10-2024-0507","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-10-2024-0507","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","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/A5021955116","display_name":"Jifeng He","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jifeng He","raw_affiliation_strings":["Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111131677","display_name":"Luhong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luhong Gao","raw_affiliation_strings":["Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101978937","display_name":"Shouzhen Zeng","orcid":"https://orcid.org/0000-0002-3604-0843"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouzhen Zeng","raw_affiliation_strings":["Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-3604-0843","affiliations":[{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021955116"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26938379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","first_page":"282","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9983999729156494,"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":0.9983999729156494,"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/poverty","display_name":"Poverty","score":0.8108501434326172},{"id":"https://openalex.org/keywords/edas","display_name":"EDAS","score":0.7151151895523071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5309730768203735},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5065580606460571},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.41557639837265015},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41535085439682007},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3462979793548584},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.28690603375434875},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2209034562110901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1651535928249359},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.14836585521697998}],"concepts":[{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.8108501434326172},{"id":"https://openalex.org/C49284225","wikidata":"https://www.wikidata.org/wiki/Q5322829","display_name":"EDAS","level":3,"score":0.7151151895523071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5309730768203735},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5065580606460571},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.41557639837265015},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41535085439682007},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3462979793548584},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.28690603375434875},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2209034562110901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1651535928249359},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.14836585521697998},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijicc-10-2024-0507","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-10-2024-0507","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2041946752","https://openalex.org/W2148475282","https://openalex.org/W2259660946","https://openalex.org/W2514754342","https://openalex.org/W2533674553","https://openalex.org/W2746747652","https://openalex.org/W2899304489","https://openalex.org/W2969948772","https://openalex.org/W2977960681","https://openalex.org/W2991237890","https://openalex.org/W3011865677","https://openalex.org/W3123856414","https://openalex.org/W3128784975","https://openalex.org/W3161014367","https://openalex.org/W4206229574","https://openalex.org/W4318455106","https://openalex.org/W4323929171","https://openalex.org/W4379805280","https://openalex.org/W4380740292","https://openalex.org/W4385644571","https://openalex.org/W4391067993","https://openalex.org/W4393391530","https://openalex.org/W4402217674","https://openalex.org/W4402321823","https://openalex.org/W4402748593"],"related_works":["https://openalex.org/W2385977561","https://openalex.org/W1977921570","https://openalex.org/W1583976218","https://openalex.org/W2950289264","https://openalex.org/W2626206254","https://openalex.org/W2098324512","https://openalex.org/W2053216895","https://openalex.org/W2499149626","https://openalex.org/W2952524952","https://openalex.org/W2980478439"],"abstract_inverted_index":{"Purpose":[0],"Accurately":[1],"identifying":[2],"the":[3,28,47,65,68,98,106,119,138,145,166,173,198,210],"risk":[4,29,48,107,120,212],"of":[5,30,49,67,108,122,175],"poverty-returning":[6,99,109,167,187,211,223],"is":[7,20,170,188,194],"a":[8,37,57,78,218],"complex":[9,71,157],"and":[10,39,84,132,153,181,203],"critical":[11],"challenge":[12,140],"in":[13,156],"current":[14],"poverty":[15,123,134],"alleviation":[16],"efforts.":[17],"However,":[18],"there":[19],"currently":[21],"no":[22],"study":[23,33,117,216],"on":[24,53,87],"evaluation":[25,44,72,85,139,162,199],"methods":[26,155],"for":[27,42,46,172,186,208,221],"poverty-returning.":[31,50],"This":[32,215],"aims":[34],"to":[35,63,96,104,196,229],"establish":[36],"robust":[38],"systematic":[40],"approach":[41],"an":[43],"framework":[45,163,193,220],"Design/methodology/approach":[51],"Based":[52],"relevant":[54],"assessment":[55,183],"criteria,":[56],"maximum":[58],"deviation":[59],"method":[60],"was":[61,94],"established":[62],"identify":[64],"weights":[66],"indicators.":[69],"A":[70,179,190],"methodology":[73],"using":[74],"prospect":[75],"theory":[76],"(PT),":[77],"q-rung":[79],"orthopair":[80],"fuzzy":[81],"set":[82],"(QrOFS)":[83],"relying":[86],"distance":[88],"from":[89,125,142],"average":[90],"solution":[91],"[EDAS]":[92],"(QrOFS-PT-EDAS)":[93],"developed":[95],"evaluate":[97],"risks.":[100],"Some":[101],"policy":[102,176],"recommendations":[103,207],"reduce":[105],"have":[110],"also":[111],"been":[112],"put":[113],"forward.":[114],"Findings":[115],"His":[116],"identifies":[118],"factors":[121],"relapse":[124],"nine":[126],"aspects,":[127],"including":[128],"natural":[129],"disasters,":[130],"accidents":[131],"policy-driven":[133],"relapse.":[135],"In":[136],"addressing":[137],"arising":[141],"uncertain":[143],"decision-making,":[144],"QrOFS":[146],"aligns":[147],"more":[148,201],"with":[149],"people\u2019s":[150],"thinking":[151],"habits":[152],"expression":[154],"environments.":[158],"The":[159],"proposed":[160],"hybrid":[161,191],"accurately":[164],"measures":[165],"risk,":[168],"which":[169],"beneficial":[171],"formulation":[174],"recommendations.":[177],"Originality/value":[178],"scientific":[180,202],"comprehensive":[182],"system":[184],"index":[185],"constructed.":[189],"QrOFS-PT-EDAS":[192],"presented":[195],"make":[197],"results":[200],"objective.":[204],"Several":[205],"strategic":[206],"reducing":[209],"are":[213],"presented.":[214],"offers":[217],"novel":[219],"assessing":[222],"issues":[224],"that":[225],"can":[226],"be":[227],"extended":[228],"many":[230],"other":[231],"areas.":[232]},"counts_by_year":[],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}
