000			02198cam a2200385 i 4500
001			23257154
003			OSt
005			20250315092302.0
008			230802s2023 nyua b 001 0 eng
010			_a 2023943898
020			_a9781264675913 _q(hardcover)
020			_z9781264676132 _q(ebook)
040			_beng _erda _cFoundation University
042			_apcc
050	0	0	_aQA9.64 _b.T76 2023
082	0	0	_a511.3/13 _223/eng/20240207
100	1		_aTsoukalas, Lefteri H., _eauthor. _98678
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]
300			_axiii, 158 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_a"Fuzzy logic principles, practices, and real-world applications"-- cover.
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. _98679
650		0	_aArtificial intelligence. _98229
650		0	_aMachine learning. _96843
650		0	_aBig data. _96854
658			_aSchool of Industrial Engineering
906			_a7 _bcbc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2lcc _cBK _n0
999			_c3748 _d3748