000			03652cam a2200625Ia 4500
001			ocn312572358
003			OCoLC
005			20180529114316.0
008			090306s1988 ne ob 001 0 eng d
019			_a428093450 _a646775882 _a742293142 _a815691507 _a823118420 _a823839050 _a823907430 _a824096719 _a824149548
020			_a9780080867106 _q(electronic bk.)
020			_a0080867103 _q(electronic bk.)
020			_a1281793264
020			_a9781281793263
020			_z9780444705044
020			_z044470504X _q(U.S.)
035			_a(OCoLC)312572358
040			_aDLC _beng _cDLC _dAU
049			_aAlfaisal Main Library
050		4	_aBF39.2.F88 _bF89 1988eb
060		4	_aW1 _bAD798L v.56 1988
060		4	_aBF 200 _bF996 1988
245	0	0	_aFuzzy sets in psychology / _cedited by Tamás Zétényi.
260			_aAmsterdam ; _aNew York : _bNorth-Holland ; _aNew York, N.Y., U.S.A. : _bSole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., _c1988.
300			_a1 online resource (xi, 470 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aAdvances in psychology ; _v56
504			_aIncludes bibliographical references and indexes.
520			_aThis volume provides an up-to-date picture of the current status of theoretical and empirical developments in the application of fuzzy sets in psychology. Fuzzy set theory could benefit researchers in at least two ways: first, as a metaphor or model for ordinary thought, and secondly, as an aid to data analysis and theory construction. One can find examples for both kinds in the volume, which will be of interest both to the advanced student in the field as well as to anyone possessing a basic scientific background.
588	0		_aPrint version record.
505	0		_aFront Cover; Fuzzy Sets in Psychology; Copyright Page; Preface; Contents; Chapter 1. Possibility Theory, Fuzzy Logic, and Psychological Explanation; Chapter 2. Quantifiers As Fuzzy Concepts; Chapter 3. A Common Framework For Colloquial Quantifiers and Probability Terms; Chapter 4. An Empirical Study Of The Integration Of Linguistic Probabilities; Chapter 5. A Fuzzy Propositional Account Of Contextual Effects On Word Recognition; Chapter 6. M-Fuzziness In Brain/Mind Modelling; Chapter 7. The Weighted Fuzzy Expected Value As An Activation Function For The Parallel Distributed Processing Models.
590			_aElsevier _bScienceDirect All Books
650		0	_aPsychology _xMathematical models.
650		0	_aFuzzy sets.
650		0	_aPsychometrics.
650		7	_aPSYCHOLOGY _xGeneral. _2bisacsh
650		7	_aFuzzy sets. _2fast _0(OCoLC)fst00936812
650		7	_aPsychology _xMathematical models. _2fast _0(OCoLC)fst01081481
650		7	_aPsychometrics. _2fast _0(OCoLC)fst01081639
650	1	7	_aFuzzy sets. _2gtt
650	1	7	_aPsychologie. _2gtt
650		2	_aModels, Psychological.
650		2	_aPsychological Theory.
650		2	_aResearch Design.
653			_aPsychology _aApplication of mathematics _aFuzzy sets
655		7	_aElectronic books. _2local
700	1		_aZétényi, Tamás.
710	2		_aScienceDirect eBooks.
776	0	8	_iPrint version: _tFuzzy sets in psychology. _dAmsterdam ; New York : North-Holland ; New York, N.Y., U.S.A. : Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., 1988 _z044470504X _z9780444705044 _w(DLC) 88024291 _w(OCoLC)18324390
830		0	_aAdvances in psychology (Amsterdam, Netherlands) ; _v56.
856	4	0	_uhttp://ezproxy.alfaisal.edu/login?url=https://www.sciencedirect.com/science/bookseries/01664115/56
942			_2lcc _cEBOOKS
264			_c1988.
999			_c527545 _d527545