{"id":"https://openalex.org/W7125613541","doi":"https://doi.org/10.1109/iciteics64870.2025.11341602","title":"Integrating Fuzzy Logic and Decision Trees to Interpret the Role of Social\u2013Emotional Factors in Faculty Well-Being in Higher Education","display_name":"Integrating Fuzzy Logic and Decision Trees to Interpret the Role of Social\u2013Emotional Factors in Faculty Well-Being in Higher Education","publication_year":2025,"publication_date":"2025-08-29","ids":{"openalex":"https://openalex.org/W7125613541","doi":"https://doi.org/10.1109/iciteics64870.2025.11341602"},"language":"en","primary_location":{"id":"doi:10.1109/iciteics64870.2025.11341602","doi":"https://doi.org/10.1109/iciteics64870.2025.11341602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciteics64870.2025.11341602","pdf_url":null,"source":{"id":"https://openalex.org/S7407096103","display_name":"IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 2nd International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5064065136","display_name":"Sam sangeeth. G","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405285210","display_name":"St. Joseph University","ror":"https://ror.org/05020bw66","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405285210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sam Sangeeth G","raw_affiliation_strings":["St. Joseph University,Department of Social Work,Chennai, Tamil Nadu,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Joseph University,Department of Social Work,Chennai, Tamil Nadu,India","institution_ids":["https://openalex.org/I4405285210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122758027","display_name":"Geetha Manoharan","orcid":"https://orcid.org/0000-0002-8644-8871","observed_orcids":["https://orcid.org/0000-0002-8644-8871"]},"institutions":[{"id":"https://openalex.org/I4405263155","display_name":"SR University","ror":"https://ror.org/039t32v17","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263155"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Geetha Manoharan","raw_affiliation_strings":["School of Business, SR University,Department of Business,Warangal,Telangana,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, SR University,Department of Business,Warangal,Telangana,India","institution_ids":["https://openalex.org/I4405263155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056433804","display_name":"T Thulasimani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I142504963","display_name":"Bannari Amman Institute of Technology","ror":"https://ror.org/01qkd1z70","country_code":"IN","type":"education","lineage":["https://openalex.org/I142504963"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Thulasimani T","raw_affiliation_strings":["Bannari Amman Institute of Technology,Department of Mathematics,Sathyamangalam,Tamil Nadu,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bannari Amman Institute of Technology,Department of Mathematics,Sathyamangalam,Tamil Nadu,India","institution_ids":["https://openalex.org/I142504963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015673216","display_name":"Vivekanand Pandey","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivekanand Pandey","raw_affiliation_strings":["Amity University Patna,Department of Management,Patna,Bihar,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amity University Patna,Department of Management,Patna,Bihar,India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101517754","display_name":"Manivannan Balamurugan","orcid":"https://orcid.org/0000-0002-1143-2090","observed_orcids":["https://orcid.org/0000-0002-1143-2090"]},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Balamurugan","raw_affiliation_strings":["Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Mathematics,Chennai,Tamil Nadu,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Mathematics,Chennai,Tamil Nadu,India","institution_ids":["https://openalex.org/I1330855593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119695275","display_name":"Neeru Malik","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neeru Malik","raw_affiliation_strings":["Pimpri Chinchwad University,Department of Engineering and Technology,Maharashtra,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pimpri Chinchwad University,Department of Engineering and Technology,Maharashtra,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.53062471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.4878000020980835,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.4878000020980835,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.18619999289512634,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.06270000338554382,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/faculty-well-being","display_name":"faculty well-being","score":0.996999979019165},{"id":"https://openalex.org/keywords/higher-education","display_name":"higher education","score":0.734000027179718},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"fuzzy logic","score":0.7799999713897705},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9789999723434448},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.7739999890327454},{"id":"https://openalex.org/keywords/social-emotional-factors","display_name":"social-emotional factors","score":0.7200000286102295},{"id":"https://openalex.org/keywords/occupational-stress","display_name":"occupational stress","score":0.6000000238418579},{"id":"https://openalex.org/keywords/job-satisfaction","display_name":"job satisfaction","score":1.0},{"id":"https://openalex.org/keywords/social-support","display_name":"social support","score":0.9990000128746033},{"id":"https://openalex.org/keywords/mental-health-monitoring","display_name":"mental health monitoring","score":0.8679999709129333},{"id":"https://openalex.org/keywords/rule-extraction","display_name":"rule extraction","score":0.7229999899864197},{"id":"https://openalex.org/keywords/university-faculty","display_name":"university faculty","score":0.43700000643730164}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6632999777793884},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.642300009727478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.636900007724762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6087999939918518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552999973297119},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.5260999798774719},{"id":"https://openalex.org/C2987376176","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference system","level":5,"score":0.43050000071525574},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.3982999920845032},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3813000023365021},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3368000090122223},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.33570000529289246},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.3278000056743622},{"id":"https://openalex.org/C120912362","wikidata":"https://www.wikidata.org/wiki/Q136822","display_name":"Higher education","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3125},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.30809998512268066},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.29159998893737793},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.2736999988555908},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.2662999927997589},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciteics64870.2025.11341602","doi":"https://doi.org/10.1109/iciteics64870.2025.11341602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciteics64870.2025.11341602","pdf_url":null,"source":{"id":"https://openalex.org/S7407096103","display_name":"IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 2nd International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.6164000034332275}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2340159198","https://openalex.org/W2735822908","https://openalex.org/W2944228595","https://openalex.org/W3034707438","https://openalex.org/W3044335625","https://openalex.org/W3103108186","https://openalex.org/W3208282071","https://openalex.org/W4307635345","https://openalex.org/W4366149788","https://openalex.org/W4382940848","https://openalex.org/W4391183031","https://openalex.org/W4392134139","https://openalex.org/W4400033989","https://openalex.org/W4400324730","https://openalex.org/W4402335295","https://openalex.org/W4405500515","https://openalex.org/W4410041138","https://openalex.org/W4411338541"],"related_works":["https://openalex.org/W7151445668","https://openalex.org/W7140758011","https://openalex.org/W2810587641","https://openalex.org/W2343493616","https://openalex.org/W7160868534","https://openalex.org/W7160504166","https://openalex.org/W2093975356","https://openalex.org/W7131074064","https://openalex.org/W4313906957","https://openalex.org/W4413268110"],"abstract_inverted_index":{"The":[0,105,121,149,183],"well-being":[1,28,64,203],"of":[2,84,118,189],"faculty":[3,27,63],"in":[4,162,173,177,204],"higher":[5],"education":[6],"is":[7,196],"a":[8,114],"significant":[9,152],"issue":[10],"that":[11,51,186],"directly":[12],"influences":[13],"institutional":[14],"quality,":[15],"performance,":[16],"and":[17,23,33,55,61,74,86,111,135,145,155,170],"student":[18],"outcomes.":[19],"However,":[20],"the":[21,94,187],"emotional":[22,68],"social":[24,75],"determinants":[25],"affecting":[26],"are":[29],"sometimes":[30],"confusing,":[31],"subjective,":[32],"challenging":[34],"to":[35,59,179],"quantify":[36],"by":[37],"conventional":[38],"statistical":[39],"or":[40],"machine":[41],"learning":[42],"methodologies.":[43],"This":[44,165],"study":[45],"presents":[46],"an":[47,197],"interpretable":[48],"hybrid":[49,123],"framework":[50],"integrates":[52],"fuzzy":[53,99,190],"logic":[54,78],"decision":[56,95],"tree":[57,96],"modelling":[58],"assess":[60],"categorise":[62],"based":[65],"on":[66,113],"various":[67],"markers,":[69],"including":[70],"stress,":[71],"job":[72],"satisfaction,":[73],"support.":[76],"Fuzzy":[77],"converts":[79],"subjective":[80],"input":[81],"into":[82,101],"variables":[83],"language":[85],"processes":[87],"them":[88],"using":[89],"expert-defined":[90],"inference":[91],"rules,":[92],"whereas":[93],"classifier":[97],"interprets":[98],"output":[100],"clear":[102],"rule-based":[103],"predictions.":[104],"system":[106],"was":[107],"developed":[108],"with":[109,192],"Python":[110],"trained":[112],"synthetic":[115],"dataset":[116],"consisting":[117],"1,000":[119],"samples.":[120],"suggested":[122],"model":[124,150],"attained":[125],"exceptional":[126],"performance":[127],"metrics:":[128],"96.8%":[129],"accuracy,":[130],"95.5%":[131],"precision.,":[132],"96.3%":[133],"recall,":[134],"95.9%":[136],"F1-score,":[137],"exceeding":[138],"baseline":[139],"approaches":[140],"such":[141],"as":[142],"logistic":[143],"regression":[144],"support":[146],"vector":[147],"machines.":[148],"offers":[151],"predictive":[153],"accuracy":[154],"generates":[156],"understandable":[157],"rules":[158],"necessary":[159],"for":[160,200],"decision-making":[161],"educational":[163,205],"settings.":[164,206],"approach":[166],"guarantees":[167],"interpretability,":[168],"dependability,":[169],"practical":[171],"value":[172],"mental":[174],"health":[175],"monitoring,":[176],"contrast":[178],"current":[180],"black-box":[181],"models.":[182],"findings":[184],"indicate":[185],"combination":[188],"reasoning":[191],"data-driven":[193],"rule":[194],"extraction":[195],"effective":[198],"method":[199],"evaluating":[201],"social-emotional":[202]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-01-25T00:00:00"}