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005 20231104114223.0
007 cr nn 008mamaa
008 151209s2015 gw | s |||| 0|eng d
020 _a9783319247144
_z978-3-319-24714-4
024 7 _a10.1007/978-3-319-24714-4
_2doi
050 4 _aQA76.9.N38
072 7 _aUYQL
_2bicssc
072 7 _aCOM073000
_2bisacsh
072 7 _aUYQL
_2thema006.35
_223
100 1 _aMartínez, Luis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 4 _aThe 2-tuple Linguistic Model :
_bComputing with Words in Decision Making /
_cby Luis Martínez, Rosa M. Rodriguez, Francisco Herrera.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aLinguistic Decision Making and Computing with Words -- 2-tuple Linguistic Model -- Linguistic Approaches Based on the 2-tuple Fuzzy Linguistic Representation Model -- Decision Making in Heterogeneous Context: 2-tuple Linguistic Based Approaches -- Decision Making with Unbalanced Linguistic Information -- Dealing with Hesitant Fuzzy Linguistic Information in Decision Making -- 2-tuple Linguistic Decision Based Applications -- FLINTSTONES: A Fuzzy LINguiSTic decisiON tools Enhancement Suite.
520 _aThis book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results. The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model. Professionals and researchers working in the field of classification or fuzzy sets and systems will find The 2-tuple Linguistic Model: Computing with Words in Decision Making a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.
650 0 _aNatural language processing (Computer science).
650 0 _aLogic design.
650 1 4 _aNatural Language Processing (NLP).
_0http://scigraph.springernature.com/things/product-market-codes/I21040
650 2 4 _aLogics and Meanings of Programs.
_0http://scigraph.springernature.com/things/product-market-codes/I1603X
700 1 _aRodriguez, Rosa M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aHerrera, Francisco.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-24714-4
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200433816
_d52028
942 _2lcc
_cEBK
041 _aeng