Index


  • Agglomerative approach, 309
  • AHP, 113, 119, 144
  • Algorithm, 37, 40, 45–46, 51–52
  • ANP, 269–270
  • Application, 37, 40–41, 43, 45–49, 51
  • Application of fuzzy logic in resource scheduling, 88–90
  • Applications and usage of machine learning in healthcare, 183
    • behavioral modification, 185
    • clinical trial and study, 185
    • crowdsourced information discovery, 185
    • detecting diseases and diagnosis, 183
    • drug detection and manufacturing, 183
    • enhanced radiotherapy, 186
    • maintenance of smart health data, 185
    • medical imaging analysis and diagnosis, 184
    • outbreak/epidemic prediction, 186
    • personalized/adapted medicine, 185
  • Applications of fuzzy logic, 167–169
  • Approximate reasoning, 83
  • ARAS, 288
  • ARIMA model, 103–105, 108–110
  • Arm rest (AR), 245
  • Australia,
    • bibliographic coupling, 73–74
    • publication count and citation count, 63, 64, 65
  • Authors, bibliographic coupling of, 72–73
  • Auto correlation function, 106–107
  • Average fuzzy decision matrix, 243
  • Average growth rate calculation, 227–232
  • Azerbaijan,
    • bibliographic coupling, 74
  • Back rest angle (BRA), 245
  • Band reduction, 6–8
  • Bangladesh,
    • publication count and citation count, 65
  • Basic concepts of fuzzy AHP and goal programming, 217–218
  • Benefit criteria, 207
  • Best non-fuzzy performance (BNP), 292
  • Bibliographic coupling,
    • of authors, 72–73
    • of countries, 73–74
    • of documents, 70–71
    • of sources, 71–72
  • Bibliometric analysis of fuzzy logic research,
    • bibliographic coupling of authors, 72–73
    • bibliographic coupling of countries, 73–74
    • bibliographic coupling of documents, 70–71
    • bibliographic coupling of sources, 71–72
    • coauthorship of authors, 67
    • cocitation analysis of cited authors, 68
    • cooccurrence of author keywords, 68, 69–70
    • data extraction and interpretation, 58–59
    • major contributing countries, 63–65
    • overview, 56–58
    • per year publication and citation count, 59–60
    • prominent affiliations contributing toward, 60–61
    • prominent authors contribution, 66–67
    • results and discussion, 59–70
    • top journals, in fuzzy logic in major subject areas, 61–63
  • Bipolar fuzzy set, 114, 143
  • Brazil,
    • bibliographic coupling, 74
    • publication count and citation count, 65
  • Brazilian power electronics conference, 72
  • Canada,
    • bibliographic coupling, 74
    • publication count and citation count, 63, 64, 65
  • Capital and operating cost, 130–131
  • CBR, 270
  • Centroid, 3–5, 8
  • China,
    • publication count and citation count, 63, 64, 65
  • Chinacom 2010, 72
  • Citation count, per year publication and, 59–60
  • Classical set, 149–150
  • Classification, 37, 45, 48–49, 51
  • Closeness coefficient, 206, 212
  • Cloud-based artificial intelligent secure models, 183
  • Cluster, 1–10, 12–16
  • Cluster analysis, 308–310
    • hierarchical, 308–309
    • partitional, 309–310
  • Clustering, method of, 310–314
  • CNN-based object detectors, 23–24
  • Cobep 2009, 72
  • Cocitation analysis of cited authors, 68
  • Colombia,
    • publication count and citation count, 65
  • Cooccurrence of author keywords, 68, 69–70
  • Correlation, between total publications and citations count, 72, 73
  • Countries, bibliographic coupling of, 73–74
  • Concordance, 116–117, 122–123, 130, 133, 135
  • Consistency ratio, 275
  • COPRAS, 136–137, 270
  • COPRAS-G, 288, 293
  • Cost, 245, 272
  • Cost criteria, 207
  • COVID-19, 21–23, 173–176, 178, 179
  • Crisp MCDM methods, 324, 325
  • Critical chain project management (CCPM). see Fuzzy MCDM on CCPM for decision making
  • CSV form, 55, 58
  • Crisp, 37, 43–47, 49
  • Crisp MCDM methods, 324, 325
  • Critical chain project management (CCPM). see Fuzzy MCDM on CCPM for decision making
  • Crop plan from planning model, 315
  • CSV form, 55, 58
  • Cutting fluid, 114, 118–122, 124–129, 143–144
  • Cyprus,
    • publication count and citation count, 65
  • Czech republic,
    • publication count and citation count, 65
  • Data extraction and interpretation, 58–59
  • Dataset fuzzy, 57
  • Data visualization, 106
  • DEA, 270
  • Decision making, 37, 48–50
  • Decision matrix, 240
  • Decision making, fuzzy MCDM on CCPM for. see Fuzzy MCDM on CCPM for decision making
  • Decision matrix,
    • fuzzy, 319
    • normalized, 320
    • weighted normalized, 321
  • Dematel, 69
  • DEMATEL, 55
  • Distance Between Centroids, hierarchical clustering method, 307
  • Documents, bibliographic coupling of, 70–71
  • Directed graph, 114, 124–125, 136–137, 143
  • Discordance, 116–117, 122–123, 134–135
  • Disposability, 120
  • Edge AI-for smart transformation of healthcare, 186
    • how AI powers the edge, 187
    • role of edge in reshaping healthcare, 186
  • Edge AI-modernizing human machine interface, 188
    • autonomous monitoring of hospital rooms—a case study, 188
    • rural medicine, 188
  • Effect, 174–177
  • Egypt,
    • publication count and citation count, 65
  • ELECTRE method, 316, 317
  • Energy converter, 253, 258, 259
  • Energy generation, 253, 254, 262
  • Entropy method, 287, 290
  • Ergonomic design considerations, 245
  • Ergonomic workplace evaluation, 237
  • Euclidean distance, 267, 272, 275, 276, 279, 280, 283
  • Euclidean distance measure, 316
  • EVAMIX, 136–137
  • Expansion flexibility, 130–131
  • Face mask detection, 21, 22, 24–25
  • Finland,
    • publication count and citation count, 65
  • Features, 37–38, 45, 49, 51
  • FMS, 113, 125, 130–132, 136–144, 284
  • Forecasting analysis, 103–105
  • France,
    • publication count and citation count, 64, 65
  • Framework, 37–38
  • Fuzzifier, 37, 43
  • Fuzzy AHP, 218, 270
  • Fuzzy analytical hierarchy process (FAHP), 287, 289
  • Fuzzy C-means, 1–3, 6, 9–16
  • Fuzzy cognitive map (FCM), 175
  • Fuzzy decision making, 21
  • Fuzzy decision matrix, 205, 207, 210
  • Fuzzy grey theory (FGT), 287, 293
  • Fuzzy inference system (FIS),
    • characteristics of FIS, 85
    • methods of FIS, 86
    • working of FIS, 85–86
  • Fuzzy logic, 37–38, 40–42, 44–45, 47, 94–95, 173, 175–177, 180, 253, 260, 264
  • Fuzzy MCDM on CCPM for decision making,
    • cluster analysis, 308–310
    • crisp performance measure, 324
    • decision matrix, 319–321
    • interval performance measure matrix, 324
    • literature review, 307
    • method of clustering, 310–314
    • methodology, 314–316
    • objective of research, 308
    • overview, 306–307
    • relative closeness to ideal solution, 323
    • scope of future study, 326
    • separation measures, 317–318, 322, 323
    • TOPSIS method, 316–325
  • Fuzzy logic research,
    • articles, major contributing countries toward, 63–65
    • co-authorship of authors, 67
    • concept of, 56
    • cooccurrence of author keywords, 68, 69–70
    • in major subject areas, top journals emerging, 61–63
    • prominent affiliations contributing toward, 60–61
    • prominent authors contribution, 66–67
    • research, bibliometric analysis of. see Bibliometric analysis of fuzzy logic research
  • Fuzzy multi-objective optimization to ratio analysis (FMOORA), 287, 292
  • Fuzzy negative ideal solution, 206, 210, 212
  • Fuzzy normalized decision matrix, 205, 211
  • Fuzzy optimizer, 253, 262–264
  • Fuzzy positive ideal solution, 206, 209, 212
  • Fuzzy ratings for alternatives, 204, 208–209
  • Fuzzy ratings for criteria, 204
  • Fuzzy rules, 263
  • Fuzzy sets, 83–84, 150–151
  • Fuzzy technique of order preference by similarity to ideal solution (FTOPSIS), 287, 291
  • Fuzzy TOPSIS, 197, 203
  • Fuzzy TOPSIS method, 305, 306, 307, 318–325
  • Fuzzy weighted normalized decision matrix, 205, 212
  • Fuzzy VIKOR, 55, 69
  • Healthcare, 37–41, 45–50
  • Hierarchical clustering, 308–309
  • Hesitant fuzzy set, 268
  • Higher education institutes (HEI), 197, 198
  • H-index of documents, 63, 66, 67
  • History of fuzzy logic and applications, 81–82
  • Hobbing, 120
  • Hong Kong,
    • publication count and citation count, 65
  • Hybrid approach, 291
  • Hybrid mode, 197
  • ICMCE 2010, 72
  • If-then, 40
  • India,
    • publication count and citation count, 63, 64, 65
  • Industry, 37, 50
  • Industry 4.0, 55, 69
  • Inference engine, 37, 43
  • Internet of things, 55
  • Interval performance measure matrix, 324
  • Iran,
    • publication count and citation count, 63, 65
  • Istanbul Teknik University, 60, 61
  • Italy publication count and citation count, 63, 65
  • Journal cite score, 63
  • Keras, 22, 27
  • Kinetic energy, 259, 260
  • K-means, 1–7, 9–16
  • K-means clustering algorithm, 309, 310
  • Lead time reduction, 130–131
  • Linear programming (LP) problem, 314
  • Linguistic variable, 240
  • Lithonia,
    • publication count and citation count, 65
  • Load capacity (LC), 245
  • Machine learning, 22, 96
  • Malaysia,
    • publication count and citation count, 65
  • Mask wearing, 21, 22
  • Material, 245
  • Material handling device (MHD), 287
  • Material removal rate, 272
  • Mathematical, 37–38, 44
  • MCGDM, 114, 118, 268
  • Mechanical conversion system, 255
  • Medicines, 37–42, 45, 47, 50
  • Membership, 43, 45–46
  • Methods of multi-attribute decision making,
    • TOPSIS method, 166–167
    • weighted aggregate sum product assessment, 163–165
    • weighted product method, 162–163
    • weighted sum method, 162
  • Mexico,
    • publication count and citation count, 65
  • Microsoft Power bi, 55, 58–60
  • Migrant workers, 173–179
  • Models, 37–38, 40, 44, 47, 49–50, 52
  • Modified closeness coefficient, 292
  • Monitoring, 33
  • MOORA, 270
  • MOOSRA, 119, 144
  • Morocco,
    • publication count and citation count, 65
  • m-polar fuzzy set ELECTRE-I, 113–115, 118, 120, 122, 124–125, 130, 136–137
  • m-polar fuzzy TOPSIS, 267, 273–275, 277–279, 281–283
  • Multicriteria decision making (MCDM), 113–114, 118, 125, 143, 238, 268, 289
  • Multicriteria decision-making (MCDM) model, 306, 307. see also Fuzzy MCDM on CCPM for decision making
  • Multiobjective irrigation planning, 314
  • National Cheng Kung University, 61
  • Natural language processing (NLP) technologies, 56
  • National Rice Research Institute (NRRI), Cuttack (Odisha, India), 305
  • Negative ideal solution (NIS), 291
  • North China Electric Power University, 55, 60–61
  • Normalization, 243, 270, 273–275, 277
  • Normalized decision matrix, construction of, 317
  • NTM, 267–268, 270, 272–283
  • Pakistan,
    • publication count and citation count, 65
  • Pandemic, 21–23, 33
  • Partitional clustering approach, 309–310
  • Patterns, 37, 45, 48–49
  • Pay-off matrix, 314, 316
  • Performance contribution, 244
  • Performance index (PI), 244
  • Performance rating, 240
  • Per year publication and citation count, 59–60
  • Poland,
    • publication count and citation count, 65
  • Portugal,
    • publication count and citation count, 65
  • Positive ideal solution (PIS), 291
  • Potential energy, 259, 260
  • Power bi, Microsoft, 55, 58–60
  • Power generation, 257, 263
  • Power requirement, 272
  • Predictive analytics,
    • fuzzy decision trees, 87
  • Preferred reporting items for systematic reviews and meta-analyses (PRISMA), 57
  • Preference rank order, 318
  • Principal eigen vector, 275
  • PRISMA (preferred reporting items for systematic reviews and meta-analyses), 57
  • Product flexibility, 130–131
  • Project Management Body of Knowledge, CCPM, 305
  • PROMETHEE, 119, 144
  • PROMETHEE-II, 281–282
  • Properties of fuzzy set, 151–153
  • PSO, 1, 2
  • Psychological status, 173, 178, 179
  • Publishing fuzzy-related works, top journals, 61–63
  • Publishing research, 60–61
  • PubMed, 58
  • Python, 23, 27, 35
  • Ranking, 37, 45, 49, 51
  • Ranking preference order, 318
  • Rapid entire body assessment (REBA), 238
  • Recognition, 37, 40, 45
  • Relative closeness, 292
  • Relative closeness coefficient, 272, 284
  • Renewable resources, 253, 264
  • Repatriated workers, 179
  • Required floor space, 130–131
  • Research model, 221–227
  • Romania,
    • publication count and citation count, 65
  • Russian federation,
    • publication count and citation count, 65
  • Saudi Arabia,
    • publication count and citation count, 65
  • Scimago journal ranking, 62, 63
  • Scopus database, fuzzy logic in. see also Bibliometric analysis of fuzzy logic research
    • bibliometric analysis from, 63
    • data collection from, 64
    • fuzzy logic in, 57, 70
    • records retrieved from, 66
    • sources in, 71
  • SAW, 119, 144
  • Seat height (SH), 245
  • Separation measures, 290
  • Separation measure, calculation, 317–318, 322, 323
  • Shannon’s entropy weight, 113–115, 118, 120–122, 124, 130, 132, 136, 143, 267–268, 271, 273, 277, 279–284
  • Shape factor, 272
  • Significance of fuzzy in healthcare, 189
    • applications of fuzzy logic in healthcare, 193
    • fuzzy logic-based smart healthcare, 190
    • fuzzy logic—outline, 189
    • medical diagnosis using fuzzy logic for decision support systems, 191
  • Significance of machine learning in healthcare, 182
  • Silhousette index, 310
  • Singapore,
    • publication count and citation count, 65
  • Single slot detector, 21
  • Sources, bibliographic coupling of, 71–72
  • South Korea,
    • publication count and citation count, 65
  • Spain,
    • publication count and citation count, 65
  • Square error criterion, 309
  • Sri Lanka,
    • publication count and citation count, 65
  • Super hybrid algorithm (SHA), 294
  • Supplier selection process, 307
  • Systematic exploration of global research activity on fuzzy logic. see Bibliometric analysis of fuzzy logic research
  • TALADANDA canal, 305
  • Taiwan,
    • publication count and citation count, 63, 64, 65
  • Technique for order of preference by similarity to ideal solution (TOPSIS), 305–307, 316–318
  • Technological aid, 178
  • Tensorflow, 22, 26, 27, 29, 34
  • Tolerance and surface finish, 272
  • TOPSIS, 124–125, 130, 143
  • TOPSIS-AHP, 270
  • Triangular fuzzy number (TFN), 242
  • Turkey,
    • publication count and citation count, 63, 64, 65, 66
  • Types of decision making,
    • individual decision making, 153–157
    • multi-criteria decision making, 160–161
    • multi-person decision making, 157–158
    • multi-stage decision making, 158–159
  • Uncertainty, 37, 39–41, 49–50, 267, 270, 282–283
  • United Kingdom,
    • publication count and citation count, 63, 65
  • United States,
    • publication count and citation count, 63, 65
  • University of Tehran, 61
  • Utility index (UI), 294
  • Videoconferencing software, 197–199
  • Videoconferencing solution, 197
  • Videoconferencing solution features,
    • assessment provision, 202
    • cost, 203
    • individual and group workspace, 202
    • infrastructure requirement, 203
    • meeting capacity, 200
    • meeting control, 200–201
    • meeting interaction, 201
    • meeting scheduling, 200
    • security, 202–203
  • VIKOR, 119
  • Viscosity, 120
  • Visualization of Similarities (VOSviewer) software, 57, 58, 64, 69
  • Volume flexibility, 130–131
  • VOSviewer (Visualization of Similarities) software, 57, 58, 64, 69
  • Ward’s method, 307, 309
  • WASPAS, 270
  • Water density, 255
  • Wave amplitude, 255
  • Wave energy control, 255
  • Wave energy systems, 255, 256
  • Wave speed, 255
  • WCCI 2010, 72
  • Weight matrix, 240
  • Wind energy, 253, 260
  • Work in progress, 130–131
  • WPM, 119, 144
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