000 03583nam a22004815i 4500
001 978-1-4614-3442-9
003 DE-He213
005 20200421111700.0
007 cr nn 008mamaa
008 141203s2015 xxu| s |||| 0|eng d
020 _a9781461434429
_9978-1-4614-3442-9
024 7 _a10.1007/978-1-4614-3442-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aFrontiers of Higher Order Fuzzy Sets
_h[electronic resource] /
_cedited by Alireza Sadeghian, Hooman Tahayori.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2015.
300 _aXIII, 261 p. 128 illus., 64 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aA New Fuzzy Disjointing Difference Operator to Calculate Union and Intersection of Type-2 Fuzzy Sets -- Robustness of Higher Order Fuzzy Sets -- Fuzzy Sets of Higher Type and Higher Order in Fuzzy Modeling -- Recent Advances in Fuzzy System Modeling -- On the use of participatory genetic fuzzy system approach to develop fuzzy models -- Fuzzy Modelling of Economic Institutional Rules -- Modeling the uncertainty of a set of graphs using higher order fuzzy sets -- Time-Series Forecasting via Complex Fuzzy Logic -- Multi-Subject Type-2 Linguistic Summaries of Relational Databases -- Bio-Inspired Optimization of Interval Type-2 Fuzzy Controller Design -- Image Processing and Pattern Recognition with Interval Type-2 Fuzzy Inference Systems -- Big Data Analytic via Soft Computing Paradigms.
520 _aFrontiers of Higher Order Fuzzy Sets, strives to improve the theoretical aspects of general and Interval Type-2 fuzzy sets and provides a unified representation theorem for higher order fuzzy sets. Moreover, the book elaborates on the concept of gradual elements and their integration with the higher order fuzzy sets. This book also introduces new frameworks for information granulation based on general T2FSs, IT2FSs, Gradual elements, Shadowed sets and rough sets. In particular, the properties and characteristics of the new proposed frameworks are studied. Such new frameworks are shown to be more capable to be exploited in real applications. Higher order fuzzy sets that are the result of the integration of general T2FSs, IT2FSs, gradual elements, shadowed sets and rough sets will be shown to be suitable to be applied in the fields of bioinformatics, business, management, ambient intelligence, medicine, cloud computing and smart grids. Presents new variations of fuzzy set frameworks and new areas of applicability of fuzzy theory Provides unified method for representing higher order fuzzy sets Discusses the role of gradual elements in fuzzy sets.
650 0 _aEngineering.
650 0 _aData structures (Computer science).
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Structures, Cryptology and Information Theory.
700 1 _aSadeghian, Alireza.
_eeditor.
700 1 _aTahayori, Hooman.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461434412
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3442-9
912 _aZDB-2-ENG
942 _cEBK
999 _c54960
_d54960