000			02057cam a2200373 i 4500
001			23257154
003			EG-ScBUE
005			20240305105927.0
008			230802t2024 nyua f b 001 0 eng d
020			_a9781264675913
020			_z1264675917
040			_aDLC _beng _erda _cDLC _dDLC _dEG-ScBUE
082	0	4	_a511.313 _222 _bTSO
100	1		_aTsoukalas, Lefteri H., _eauthor.
245	1	0	_aFuzzy logic : _bapplications in artificial intelligence, big data, and machine learning / _cLefteri H. Tsoukalas.
264		1	_aNew York : _bMcGraw Hill, _c[2024]
264		4	_cc2024
300			_axiii, 158 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"This hands-on guide offers clear explanations of fuzzy logic along with practical uses and detailed examples. Written by an award-winning engineer and experienced author, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and skills in students and professionals alike. Inside, you will discover how to apply fuzzy logic and migrate to a new man-machine relationship in the context of pervasive digitization and big data across emerging technologies. The book lays out real-world applications in intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization"-- _cProvided by publisher.
650		0	_aFuzzy logic.
650		7	_aArtificial intelligence. _2BUEsh
650		7	_aMachine learning. _2BUEsh
650		7	_aBig data. _2BUEsh
653			_cMay2024 _bMASIICCSS
655			_vReading book
906			_a7 _bcbc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBB
999			_c30687 _d30658