{"id":"https://openalex.org/W4391824195","doi":"https://doi.org/10.1051/ro/2024044","title":"Performance analysis and ANFIS computing of a Markovian queuing model with intermittently accessible server under a hybrid vacation policy","display_name":"Performance analysis and ANFIS computing of a Markovian queuing model with intermittently accessible server under a hybrid vacation policy","publication_year":2024,"publication_date":"2024-02-14","ids":{"openalex":"https://openalex.org/W4391824195","doi":"https://doi.org/10.1051/ro/2024044"},"language":"en","primary_location":{"id":"doi:10.1051/ro/2024044","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2024044","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1051/ro/2024044","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076216976","display_name":"K. Divya","orcid":"https://orcid.org/0009-0000-0641-6566"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"K. Divya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011160188","display_name":"K. Indhira","orcid":"https://orcid.org/0000-0001-7765-094X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Indhira","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7765-094X","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076216976"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9239,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87560757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"58","issue":"2","first_page":"1257","last_page":"1279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9987000226974487,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9746000170707703,"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"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9290000200271606,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/queueing-theory","display_name":"Queueing theory","score":0.6950660347938538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6010274887084961},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45039552450180054},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3994501233100891},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3268125355243683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13004204630851746},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09948965907096863}],"concepts":[{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.6950660347938538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6010274887084961},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45039552450180054},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3994501233100891},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3268125355243683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13004204630851746},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09948965907096863}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1051/ro/2024044","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2024044","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/ro/2024044","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.rairo-ro.org/10.1051/ro/2024044/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/ro/2024044","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1051/ro/2024044","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2024044","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1985330892","https://openalex.org/W1992731305","https://openalex.org/W2030963220","https://openalex.org/W2062573385","https://openalex.org/W2588201367","https://openalex.org/W2810264474","https://openalex.org/W2915316285","https://openalex.org/W3011452593","https://openalex.org/W3023661403","https://openalex.org/W3106751681","https://openalex.org/W3122299516","https://openalex.org/W3203092079","https://openalex.org/W4205635070","https://openalex.org/W4214529158","https://openalex.org/W4224325308","https://openalex.org/W4229455573","https://openalex.org/W4286697439","https://openalex.org/W4292722132","https://openalex.org/W4295885025","https://openalex.org/W4312119023","https://openalex.org/W4327942827","https://openalex.org/W4360954865","https://openalex.org/W4362608216","https://openalex.org/W4362648583"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2115248066","https://openalex.org/W2995016501","https://openalex.org/W579272104"],"abstract_inverted_index":{"In":[0],"this":[1,114,126],"study,":[2],"we":[3,49,72,91],"investigate":[4],"a":[5,16,24],"heterogeneous":[6],"queueing":[7,128],"model":[8],"with":[9],"intermittent":[10],"server":[11,13,27,33],"availability,":[12],"catastrophes,":[14],"and":[15,66,107,123,138],"hybrid":[17],"vacation":[18],"policy.":[19],"Our":[20],"focus":[21],"is":[22,29],"on":[23,101],"specific":[25],"scenario:":[26],"1":[28],"always":[30],"available,":[31],"while":[32],"2":[34],"may":[35],"experience":[36],"breakdowns":[37],"or":[38],"vacations,":[39],"making":[40],"it":[41],"intermittently":[42],"accessible.":[43],"Using":[44],"the":[45,54,59,64,74,86,109,121,131,136],"matrix-geometric":[46],"approach":[47],"(MGA),":[48],"derive":[50],"matrix-based":[51],"expressions":[52],"for":[53,85,142],"stationary":[55],"probability":[56],"distribution":[57],"of":[58,61,79,125,133],"number":[60],"customers":[62],"in":[63,135],"system":[65,68,98],"various":[67],"performance":[69],"measures.":[70],"Additionally,":[71],"evaluate":[73],"cost":[75],"function":[76],"per":[77],"unit":[78],"time":[80],"to":[81,105,120],"determine":[82],"optimal":[83],"values":[84],"system\u2019s":[87],"decision":[88],"variables.":[89],"Furthermore,":[90],"employ":[92],"an":[93],"adaptive":[94],"neural":[95],"fuzzy":[96],"inference":[97],"(ANFIS)":[99],"based":[100],"soft":[102],"computing":[103],"technology":[104],"compare":[106],"analyze":[108],"numerical":[110],"results":[111],"obtained.":[112],"Through":[113],"comprehensive":[115],"analysis,":[116],"our":[117],"study":[118],"contributes":[119],"understanding":[122],"optimization":[124],"complex":[127],"system,":[129],"attracting":[130],"attention":[132],"researchers":[134],"field":[137],"offering":[139],"practical":[140],"insights":[141],"real-world":[143],"applications.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}