{"id":"https://openalex.org/W4408348848","doi":"https://doi.org/10.1109/tencon61640.2024.10903001","title":"Optimal Selection of Machine Learning as a Service (MLaaS) Using a Hybrid Multi-Criteria Decision Making Approach: Integrating Entropy Weight and VIKOR Methods","display_name":"Optimal Selection of Machine Learning as a Service (MLaaS) Using a Hybrid Multi-Criteria Decision Making Approach: Integrating Entropy Weight and VIKOR Methods","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4408348848","doi":"https://doi.org/10.1109/tencon61640.2024.10903001"},"language":"en","primary_location":{"id":"doi:10.1109/tencon61640.2024.10903001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10903001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","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/A5028205838","display_name":"Seema Gupta Bhol","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Seema Gupta Bhol","raw_affiliation_strings":["School of Computer Applications, KIIT University,Bhubaneswar,INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Applications, KIIT University,Bhubaneswar,INDIA","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100553716","display_name":"Sahoo Sanjib Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sahoo Sanjib Kumar","raw_affiliation_strings":["National University of Singapore,Department of Electrical and Computer Engineering,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Electrical and Computer Engineering,Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42542694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1805","last_page":"1809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.7912999987602234,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.7912999987602234,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6660081744194031},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6226683855056763},{"id":"https://openalex.org/keywords/vikor-method","display_name":"VIKOR method","score":0.603938639163971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5541710257530212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5426537990570068},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5240169763565063},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4094250798225403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17490670084953308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660081744194031},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6226683855056763},{"id":"https://openalex.org/C172438850","wikidata":"https://www.wikidata.org/wiki/Q7907019","display_name":"VIKOR method","level":3,"score":0.603938639163971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5541710257530212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5426537990570068},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5240169763565063},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4094250798225403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17490670084953308},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon61640.2024.10903001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10903001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2028126006","https://openalex.org/W2053190248","https://openalex.org/W4387262258","https://openalex.org/W2473795031","https://openalex.org/W2281619998","https://openalex.org/W2942127108","https://openalex.org/W4401090228","https://openalex.org/W2009841438","https://openalex.org/W2292956015","https://openalex.org/W4387403686"],"abstract_inverted_index":{"Cloud":[0,120],"computing":[1,63],"has":[2],"change":[3],"the":[4,113,142],"landscape":[5,88],"of":[6,80,153,174,189,201],"IT":[7,40],"industry.":[8],"Apart":[9],"from":[10,49],"traditional":[11],"Software":[12],"a":[13,21,29,70,129,136],"Service":[14,19,30],"(SaaS)":[15],"and":[16,44,55,65,78,95,110,126,177,192],"Product":[17],"as":[18,28,57,59,107,138],"(PasS),":[20],"relatively":[22],"new":[23,93],"service":[24,38,121,145],"called":[25,132],"Machine":[26,133],"Learning":[27,134],"(MLaaS)":[31],"is":[32,89,102,147,159,180,185],"being":[33,97],"offered":[34],"by":[35],"various":[36,85],"cloud":[37,137],"providers.":[39,171,204],"professionals,":[41],"data":[42,66],"Scientists":[43],"other":[45],"users":[46],"can":[47],"benefit":[48],"pre-built":[50],"machine":[51,81],"learning":[52,82],"algorithms,":[53],"libraries,":[54],"frameworks,":[56],"well":[58],"access":[60],"to":[61,104,149,167],"large-scale":[62],"resources":[64],"storage.":[67],"MLaaS":[68,87,119,144,170,203],"offers":[69],"user":[71],"friendly":[72],"interface":[73],"that":[74],"assists":[75],"in":[76],"development":[77],"deployment":[79],"models":[83],"for":[84,187,198],"applications.":[86],"continually":[90],"evolving,":[91],"with":[92],"features":[94],"offerings":[96],"added":[98],"regularly.":[99],"Its":[100],"importance":[101],"likely":[103],"continue":[105],"growing":[106],"more":[108],"industries":[109],"sectors":[111],"embrace":[112],"benefits":[114],"it":[115],"offers.":[116],"Many":[117],"commercial":[118],"providers":[122],"are":[123],"offering":[124],"tools":[125],"techniques":[127],"under":[128],"big":[130],"umbrella":[131],"over":[135],"service.":[139],"However,":[140],"selecting":[141],"best":[143,169],"provider":[146],"crucial":[148],"meet":[150],"business":[151],"needs":[152],"an":[154],"organization.":[155],"The":[156],"present":[157],"paper":[158],"proposing":[160],"Multi-criteria":[161],"Decision":[162],"Making":[163],"(MCDM)":[164],"based":[165],"approach":[166],"select":[168],"Hybrid":[172],"application":[173],"Entropy":[175,183],"method":[176,179,184,194],"VIKOR":[178,193],"used":[181,186,195],"where":[182],"calculation":[188],"criteria":[190],"weights":[191,197],"these":[196],"final":[199],"ranking":[200],"alternative":[202]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
