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100   $a20151209d2015      u|         0
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135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 14$aThe 2-tuple Linguistic Model $eComputing with Words in Decision Making /$fby Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (179 p.)
300   $aDescription based upon print version of record.
311   $a3-319-24712-3 
320   $aIncludes bibliographical references at the end of each chapters.
327   $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.
330   $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.
606   $aNatural language processing (Computer science)
606   $aComputer logic
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
606   $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X
615  0$aNatural language processing (Computer science).
615  0$aComputer logic.
615 14$aNatural Language Processing (NLP).
615 24$aLogics and Meanings of Programs.
676   $a004
700   $aMartínez$b Luis$4aut$4http://id.loc.gov/vocabulary/relators/aut$0694943
702   $aRodriguez$b Rosa M$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aHerrera$b Francisco$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299195003321
996   $aThe 2-tuple Linguistic Model$92520001
997   $aUNINA