{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T05:20:31Z","timestamp":1769836831271,"version":"3.49.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T00:00:00Z","timestamp":1564099200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T00:00:00Z","timestamp":1564099200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s12652-019-01375-2","type":"journal-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:02:22Z","timestamp":1564146142000},"page":"2793-2807","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["A fog-based hybrid intelligent system for energy saving in smart buildings"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7340-1847","authenticated-orcid":false,"given":"Alessandra","family":"De Paola","sequence":"first","affiliation":[]},{"given":"Pierluca","family":"Ferraro","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Lo Re","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Morana","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Ortolani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,26]]},"reference":[{"key":"1375_CR1","doi-asserted-by":"crossref","unstructured":"Amadeo M, Molinaro A, Paratore SY, Altomare A, Giordano A, Mastroianni C (2017) A cloud of things framework for smart home services based on information centric networking. In: Proc. of the 2017 IEEE 14th international conference on networking, sensing and control (ICNSC), IEEE, pp 245\u2013250","DOI":"10.1109\/ICNSC.2017.8000099"},{"issue":"1","key":"1375_CR2","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1109\/TSMCA.2004.838465","volume":"35","author":"F Amigoni","year":"2005","unstructured":"Amigoni F, Gatti N, Pinciroli C, Roveri M (2005) What planner for ambient intelligence applications? IEEE Trans Syst Man Cybern Part A Syst Hum 35(1):7\u201321","journal-title":"IEEE Trans Syst Man Cybern Part A Syst Hum"},{"key":"1375_CR3","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.pmcj.2009.06.009","volume":"5","author":"L Atallah","year":"2009","unstructured":"Atallah L, Yang G (2009) The use of pervasive sensing for behaviour profiling\u2014a survey. Pervas Mob Comput 5:447\u2013464","journal-title":"Pervas Mob Comput"},{"key":"1375_CR4","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1016\/j.applthermaleng.2015.10.056","volume":"93","author":"A Baghban","year":"2016","unstructured":"Baghban A, Bahadori M, Rozyn J, Lee M, Abbas A, Bahadori A, Rahimali A (2016) Estimation of air dew point temperature using computational intelligence schemes. Appl Therm Eng 93:1043\u20131052","journal-title":"Appl Therm Eng"},{"issue":"1","key":"1375_CR5","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.isatra.2007.09.001","volume":"47","author":"A Bagis","year":"2008","unstructured":"Bagis A (2008) Fuzzy rule base design using tabu search algorithm for nonlinear system modeling. ISA Trans 47(1):32\u201344","journal-title":"ISA Trans"},{"key":"1375_CR6","doi-asserted-by":"crossref","unstructured":"Bhargava K, McManus G, Ivanov S (2017) Fog-centric localization for ambient assisted living. In: Proc. of the 2017 international conference on engineering, technology and innovation (ICE\/ITMC), IEEE, pp 1424\u20131430","DOI":"10.1109\/ICE.2017.8280050"},{"key":"1375_CR7","doi-asserted-by":"crossref","unstructured":"Bilgin A, Dooley J, Whittington L, Hagras H, Henson M, Wagner C, Malibari A, Al-Ghamdi A, Alhaddad MJ, Alghazzawi D (2012) Dynamic profile-selection for zslices based type-2 fuzzy agents controlling multi-user ambient intelligent environments. In: Proc. of the 2012 IEEE international conference on fuzzy systems, pp 1\u20138","DOI":"10.1109\/FUZZ-IEEE.2012.6251256"},{"issue":"2","key":"1375_CR8","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s12652-016-0374-3","volume":"8","author":"D Calvaresi","year":"2017","unstructured":"Calvaresi D, Cesarini D, Sernani P, Marinoni M, Dragoni AF, Sturm A (2017) Exploring the ambient assisted living domain: a systematic review. J Ambient Intell Hum Comput 8(2):239\u2013257","journal-title":"J Ambient Intell Hum Comput"},{"issue":"4","key":"1375_CR9","first-page":"397","volume":"12","author":"G Castellano","year":"2002","unstructured":"Castellano G, Fanelli AM, Mencar C (2002) Generation of interpretable fuzzy granules by a double-clustering technique. Arch Control Sci 12(4):397\u2013410","journal-title":"Arch Control Sci"},{"issue":"99","key":"1375_CR10","first-page":"1","volume":"2010","author":"DJ Cook","year":"2010","unstructured":"Cook DJ (2010) Learning setting-generalized activity models for smart spaces. IEEE Intell Syst 2010(99):1","journal-title":"IEEE Intell Syst"},{"issue":"2","key":"1375_CR11","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.pmcj.2006.12.001","volume":"3","author":"DJ Cook","year":"2007","unstructured":"Cook DJ, Das SK (2007) How smart are our environments? An updated look at the state of the art. Pervas Mob Comput 3(2):53\u201373","journal-title":"Pervas Mob Comput"},{"issue":"4","key":"1375_CR12","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.pmcj.2009.04.001","volume":"5","author":"DJ Cook","year":"2009","unstructured":"Cook DJ, Augusto JC, Jakkula VR (2009) Ambient intelligence: technologies, applications, and opportunities. Pervas Mob Comput 5(4):277\u2013298","journal-title":"Pervas Mob Comput"},{"key":"1375_CR13","doi-asserted-by":"crossref","unstructured":"Corucci F, Anastasi G, Marcelloni F (2011) A WSN-based testbed for energy efficiency in buildings. In: Proc. of the 2011 IEEE symposium on computers and communications (ISCC), pp 990\u2013993","DOI":"10.1109\/ISCC.2011.5983971"},{"issue":"3","key":"1375_CR14","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1016\/j.pmcj.2011.02.006","volume":"8","author":"A De Paola","year":"2012","unstructured":"De Paola A, Gaglio S, Lo Re G, Ortolani M (2012) Sensor9k: a testbed for designing and experimenting with WSN-based ambient intelligence applications. Pervas Mob Comput 8(3):448\u2013466","journal-title":"Pervas Mob Comput"},{"issue":"1","key":"1375_CR15","doi-asserted-by":"publisher","first-page":"13:1","DOI":"10.1145\/2611779","volume":"47","author":"A De Paola","year":"2014","unstructured":"De Paola A, Ortolani M, Lo Re G, Anastasi G, Das SK (2014) Intelligent management systems for energy efficiency in buildings: a survey. ACM Comput Surv 47(1):13:1\u201313:38","journal-title":"ACM Comput Surv"},{"key":"1375_CR16","first-page":"1","volume":"2015","author":"A De Paola","year":"2015","unstructured":"De Paola A, Lo Re G, Morana M, Ortolani M (2015) Smartbuildings: an ami system for energy efficiency. SustainIT 2015:1\u20137","journal-title":"SustainIT"},{"issue":"6","key":"1375_CR17","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.1109\/TMC.2016.2599158","volume":"16","author":"A De Paola","year":"2017","unstructured":"De Paola A, Ferraro P, Gaglio S, Lo Re G, Das SK (2017) An adaptive bayesian system for context-aware data fusion in smart environments. IEEE Trans Mobile Comput 16(6):1502\u20131515","journal-title":"IEEE Trans Mobile Comput"},{"issue":"3","key":"1375_CR18","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/91.771086","volume":"7","author":"M Denna","year":"1999","unstructured":"Denna M, Mauri G, Zanaboni AM (1999) Learning fuzzy rules with tabu search-an application to control. IEEE Trans Fuzzy Syst 7(3):295\u2013318","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"1375_CR19","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/TSMCA.2004.838488","volume":"35","author":"F Doctor","year":"2005","unstructured":"Doctor F, Hagras H, Callaghan V (2005) A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments. IEEE Trans Syst Man Cybern Part A Syst Hum 35(1):55\u201365","journal-title":"IEEE Trans Syst Man Cybern Part A Syst Hum"},{"key":"1375_CR20","unstructured":"European Commission (2017) Energy efficiency in buildings. \nhttp:\/\/ec.europa.eu\/energy\/en\/topics\/energy-efficiency\/buildings\n\n. Accessed 1 Feb 2019"},{"key":"1375_CR21","doi-asserted-by":"crossref","unstructured":"Fazzolari M, Alcala R, Nojima Y, Ishibuchi H, Herrera F (2013) Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. In: Proc. of the 2013 IEEE Int. workshop on genetic and evolutionary fuzzy systems (GEFS), pp 44\u201351","DOI":"10.1109\/GEFS.2013.6601054"},{"key":"1375_CR22","doi-asserted-by":"crossref","unstructured":"Georgievski I, Nguyen TA, Aiello M (2013) Combining activity recognition and ai planning for energy-saving offices. In: Proc. of the 2013 IEEE 10th Int. Conf. on ubiquitous intelligence and computing and 10th int. conf. on autonomic and trusted computing (UIC\/ATC), IEEE, pp 238\u2013245","DOI":"10.1109\/UIC-ATC.2013.106"},{"key":"1375_CR23","unstructured":"Gruber P, Gwerder M, J T (2001) Predictive control for heating applications. In: Proc. of the 7th REHVA world congress, clima 2000. Naples, Italy, pp 1\u201315"},{"issue":"1","key":"1375_CR24","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/MCI.2014.2350952","volume":"10","author":"H Hagras","year":"2015","unstructured":"Hagras H, Alghazzawi D, Aldabbagh G (2015) Employing type-2 fuzzy logic systems in the efforts to realize ambient intelligent environments [application notes]. IEEE Comput Intell Mag 10(1):44\u201351","journal-title":"IEEE Comput Intell Mag"},{"issue":"1","key":"1375_CR25","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s12065-007-0001-5","volume":"1","author":"F Herrera","year":"2008","unstructured":"Herrera F (2008) Genetic fuzzy systems: taxonomy, current research trends and prospects. Evol Intell 1(1):27\u201346","journal-title":"Evol Intell"},{"key":"1375_CR26","unstructured":"Hinojosa CE, Camargo HA (2013) Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule. In: IFSA world congress and NAFIPS annual meeting (IFSA\/NAFIPS), 2013 Joint, pp 292\u2013297"},{"key":"1375_CR27","doi-asserted-by":"crossref","unstructured":"Hosoya Y, Umano M (2012) Dynamic fuzzy q-learning with facility of tuning and removing fuzzy rules. In: Proc. of the 2012 IEEE int. conf. on fuzzy systems (FUZZ-IEEE), IEEE, pp 1\u20138","DOI":"10.1109\/FUZZ-IEEE.2012.6251252"},{"issue":"2","key":"1375_CR28","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1109\/TFUZZ.2011.2172616","volume":"20","author":"R Hosseini","year":"2012","unstructured":"Hosseini R, Qanadli SD, Barman S, Mazinani M, Ellis T, Dehmeshki J (2012) An automatic approach for learning and tuning gaussian interval type-2 fuzzy membership functions applied to lung cad classification system. IEEE Trans Fuzzy Syst 20(2):224\u2013234","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1375_CR29","unstructured":"Kulkarni AA (2002) A reactive behavioral system for the intelligent room. PhD thesis, Massachusetts Institute of Technology"},{"key":"1375_CR30","unstructured":"Lhotska L, Macek J, Peri D (2004) Evaluation of ecg: comparison of decision tree and fuzzy rules induction. In: European meetings on cybernetics and systems research (EMCSR), pp 713\u2013718"},{"key":"1375_CR31","doi-asserted-by":"crossref","unstructured":"Nauck D, Kruse R (1993) A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation. In: Proc. of the IEEE int. conf. on neural networks, IEEE, pp 1022\u20131027","DOI":"10.1109\/ICNN.1993.298698"},{"key":"1375_CR32","unstructured":"Navara M, Peri D (2004) Automatic generation of fuzzy rules and its applications in medical diagnosis. In: Proc. of the 10th int. conf. on information processing and management of uncertainty, pp 657\u2013663"},{"key":"1375_CR33","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.bspc.2015.04.007","volume":"20","author":"T Nguyen","year":"2015","unstructured":"Nguyen T, Khosravi A, Creighton D, Nahavandi S (2015) Fuzzy system with tabu search learning for classification of motor imagery data. Biomed Signal Process Control 20:61\u201370","journal-title":"Biomed Signal Process Control"},{"key":"1375_CR34","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.enbuild.2012.09.005","volume":"56","author":"TA Nguyen","year":"2013","unstructured":"Nguyen TA, Aiello M (2013) Energy intelligent buildings based on user activity: a survey. Energy Build 56:244\u2013257","journal-title":"Energy Build"},{"issue":"3","key":"1375_CR35","first-page":"32","volume":"50","author":"C Perera","year":"2017","unstructured":"Perera C, Qin Y, Estrella JC, Reiff-Marganiec S, Vasilakos AV (2017) Fog computing for sustainable smart cities: a survey. ACM Comput Surv CSUR 50(3):32","journal-title":"ACM Comput Surv CSUR"},{"key":"1375_CR36","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/j.future.2017.02.014","volume":"78","author":"AM Rahmani","year":"2018","unstructured":"Rahmani AM, Gia TN, Negash B, Anzanpour A, Azimi I, Jiang M, Liljeberg P (2018) Exploiting smart e-health gateways at the edge of healthcare internet-of-things: a fog computing approach. Future Gen Comput Syst 78:641\u2013658","journal-title":"Future Gen Comput Syst"},{"key":"1375_CR37","unstructured":"Rasul F, Rahman M, Shelia V, Hill SE, Islam A, Iosiliani O, Loyd N, Hoogenboom G (2015) Agricultural Weather Network (AgWeatherNet) Science for Society. In: Conference on science at IAREC (Irrigated agricultural research and extension center), Washington State University"},{"key":"1375_CR38","doi-asserted-by":"publisher","first-page":"16441","DOI":"10.1109\/ACCESS.2017.2739804","volume":"5","author":"Y Sahni","year":"2017","unstructured":"Sahni Y, Cao J, Zhang S, Yang L (2017) Edge mesh: a new paradigm to enable distributed intelligence in internet of things. IEEE Access 5:16441\u201316458","journal-title":"IEEE Access"},{"key":"1375_CR39","unstructured":"Santini S, Romer K (2006) An adaptive strategy for quality-based data reduction in wireless sensor networks. In: Proc. of the 3rd international conference on networked sensing systems (INSS 2006), pp 29\u201336"},{"issue":"2","key":"1375_CR40","first-page":"121","volume":"185","author":"V Stantchev","year":"2015","unstructured":"Stantchev V, Barnawi A, Ghulam S, Schubert J, Tamm G (2015) Smart items, fog and cloud computing as enablers of servitization in healthcare. Sens Transducers 185(2):121","journal-title":"Sens Transducers"},{"key":"1375_CR41","doi-asserted-by":"publisher","first-page":"1454","DOI":"10.1016\/j.jclepro.2016.10.006","volume":"140","author":"BLR Stojkoska","year":"2017","unstructured":"Stojkoska BLR, Trivodaliev KV (2017a) A review of internet of things for smart home: challenges and solutions. J Clean Prod 140:1454\u20131464","journal-title":"J Clean Prod"},{"key":"1375_CR42","doi-asserted-by":"crossref","unstructured":"Stojkoska BR, Trivodaliev K (2017b) Enabling internet of things for smart homes through fog computing. In: Proc. of the 2017 25th telecommunication forum (TELFOR), IEEE, pp 1\u20134","DOI":"10.1109\/TELFOR.2017.8249316"},{"key":"1375_CR43","doi-asserted-by":"crossref","unstructured":"Stojmenovic I, Wen S (2014) The fog computing paradigm: scenarios and security issues. In: Proc. of the 2014 federated conference on computer science and information systems (FedCSIS), IEEE, pp 1\u20138","DOI":"10.15439\/2014F503"},{"issue":"4","key":"1375_CR44","doi-asserted-by":"publisher","first-page":"205","DOI":"10.3233\/HIS-130177","volume":"10","author":"N Talbi","year":"2013","unstructured":"Talbi N, Belarbi K (2013) Designing fuzzy rule base using hybrid elite genetic algorithm and tabu search: application for control and modeling. Int J Hybrid Intell Syst 10(4):205\u2013214","journal-title":"Int J Hybrid Intell Syst"},{"key":"1375_CR45","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1109\/JIOT.2018.2803201","volume":"5","author":"P Verma","year":"2018","unstructured":"Verma P, Sood SK (2018) Fog assisted-iot enabled patient health monitoring in smart homes. IEEE Internet Things J 5:991\u20131","journal-title":"IEEE Internet Things J"},{"key":"1375_CR46","doi-asserted-by":"crossref","unstructured":"Yan Y, Su W (2016) A fog computing solution for advanced metering infrastructure. In: Proc. of the 2016 IEEE\/PES transmission and distribution conference and exposition (T&D), IEEE, pp 1\u20134","DOI":"10.1109\/TDC.2016.7519890"},{"issue":"3","key":"1375_CR47","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/0020-0255(75)90036-5","volume":"8","author":"LA Zadeh","year":"1975","unstructured":"Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8(3):199\u2013249","journal-title":"Inf Sci"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01375-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12652-019-01375-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01375-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,24]],"date-time":"2020-07-24T23:15:13Z","timestamp":1595632513000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12652-019-01375-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,26]]},"references-count":47,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["1375"],"URL":"https:\/\/doi.org\/10.1007\/s12652-019-01375-2","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,26]]},"assertion":[{"value":"5 February 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}