2-Tuple Linguistic Decision Based Applications

Throughout this book different theoretical concepts, models, and extensions related to the 2-tuple linguistic model illustrated by simple examples to understand their performance have been reviewed. This chapter aims at showing the important impact in practice that this model and its related tools have had in different decision applications and related areas. In order to clarify its multidisciplinary impact, they are classified into five different categories and different publications about them are reviewed.

[1]  Ali Jahan,et al.  Material selection for femoral component of total knee replacement using comprehensive VIKOR , 2011 .

[2]  Shenghan Zhou,et al.  Risk Assessment Model with 2-Tuple Temporal Linguistic Variable , 2011 .

[3]  Yucheng Dong,et al.  Unbalanced linguistic approach for venture investment evaluation with risk attitudes , 2014, Progress in Artificial Intelligence.

[4]  Luis Martínez-López,et al.  A linguistic decision support model for QoS priorities in networking , 2012, Knowl. Based Syst..

[5]  Wen-Chang Ko,et al.  Exploiting 2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis , 2013, Comput. Ind. Eng..

[6]  Jin-Han Park,et al.  2-Tuple linguistic harmonic operators and their applications in group decision making , 2013, Knowl. Based Syst..

[7]  Macarena Espinilla,et al.  Improving the Effectiveness of Knowledge Based Recommender Systems Using Incomplete Linguistic Preference Relations , 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[8]  Zhibin Wu,et al.  A maximizing consensus approach for alternative selection based on uncertain linguistic preference relations , 2013, Comput. Ind. Eng..

[9]  José Angel Olivas,et al.  Hiperion: A fuzzy approach for recommending educational activities based on the acquisition of competences , 2013, Inf. Sci..

[10]  Ta-Chun Wen,et al.  A novel efficient approach for DFMEA combining 2-tuple and the OWA operator , 2010, Expert Syst. Appl..

[11]  Da Ruan,et al.  SYNTHESIS AND EVALUATION ANALYSIS OF THE INDICATOR INFORMATION IN NUCLEAR SAFEGUARDS APPLICATIONS BY COMPUTING WITH WORDS , 2002 .

[12]  Macarena Espinilla,et al.  Using linguistic incomplete preference relations to cold start recommendations , 2010, Internet Res..

[13]  Humberto Bustince,et al.  Segmentation of color images using a linguistic 2-tuples model , 2014, Inf. Sci..

[14]  N. Gupta.  Material selection for thin-film solar cells using multiple attribute decision making approach , 2011 .

[15]  Jesús Alcalá-Fdez,et al.  Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems , 2009, Applied Intelligence.

[16]  Habib Chabchoub,et al.  PROMETHEE-MD-2T method for project selection , 2009, Eur. J. Oper. Res..

[17]  Bo Feng,et al.  Evaluating knowledge management capability of organizations: a fuzzy linguistic method , 2009, Expert Syst. Appl..

[18]  Macarena Espinilla,et al.  A 360-degree performance appraisal model dealing with heterogeneous information and dependent criteria , 2013, Inf. Sci..

[19]  Enrique Herrera-Viedma,et al.  Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries , 2010, Knowl. Based Syst..

[20]  Haris Ch. Doukas,et al.  Linguistic multi-criteria decision making for energy and environmental corporate policy , 2014, Inf. Sci..

[21]  Jun Liu,et al.  Using Collaborative Filtering for Dealing with Missing Values in Nuclear Safeguards Evaluation , 2009, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[22]  Ya-feng Li,et al.  A method of Identifying Supply Chain Risk Factors , 2009, 2009 WRI World Congress on Software Engineering.

[23]  Jesús Alcalá-Fdez,et al.  A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection , 2007, IEEE Transactions on Fuzzy Systems.

[24]  Enrique Herrera-Viedma,et al.  A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office , 2012, Inf. Sci..

[25]  Enrique Herrera-Viedma,et al.  A model of an information retrieval system with unbalanced fuzzy linguistic information , 2007, Int. J. Intell. Syst..

[26]  Jun Wang,et al.  A Group Decision Support Approach to Evaluate Experts for R&D Project Selection , 2008, IEEE Transactions on Engineering Management.

[27]  Shih-Yuan Wang.  Applying the superior identification group linguistic variable to construct kano model oriented quality function deployment , 2014 .

[28]  Jesús Alcalá-Fdez,et al.  Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation , 2007, Int. J. Approx. Reason..

[29]  María José del Jesús,et al.  Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD , 2012, Int. J. Comput. Intell. Syst..

[30]  Guiwu Wei,et al.  Some prioritized aggregating operators with linguistic information and their application to multiple attribute group decision making , 2014, J. Intell. Fuzzy Syst..

[31]  Enrique Herrera-Viedma,et al.  A Fuzzy Linguistic IRS Model Based on a 2-Tuple Fuzzy Linguistic Approach , 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[32]  Yejun Xu,et al.  An Interactive Approach Based on Alternative Achievement Scale and Alternative Comprehensive Scale for Multiple Attribute Decision Making under Linguistic Environment , 2013, Int. J. Comput. Intell. Syst..

[33]  Wen-Pai Wang,et al.  Evaluating new product development performance by fuzzy linguistic computing , 2009, Expert Syst. Appl..

[34]  Tomas Baležentis,et al.  An innovative multi-criteria supplier selection based on two-tuple multimoora and hybrid data , 2011 .

[35]  Macarena Espinilla,et al.  An Evaluation Model with Unbalanced Linguistic Information Applied to Olive Oil Sensory Evaluation , 2009, J. Multiple Valued Log. Soft Comput..

[36]  María José del Jesús,et al.  A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets , 2013, Knowl. Based Syst..

[37]  M. Goumas,et al.  An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects , 2000, Eur. J. Oper. Res..

[38]  Macarena Espinilla,et al.  A Linguistic Multigranular Sensory Evaluation Model for Olive Oil , 2008, Int. J. Comput. Intell. Syst..

[39]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[40]  Francisco Herrera,et al.  A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets , 2015, Appl. Soft Comput..

[41]  Yanbing Ju,et al.  Extension of VIKOR method for multi-criteria group decision making problem with linguistic information , 2013 .

[42]  Guiwu Wei,et al.  Some linguistic power aggregating operators and their application to multiple attribute group decision making , 2013, J. Intell. Fuzzy Syst..

[43]  María José del Jesús,et al.  On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets , 2010, Inf. Sci..

[44]  Shing-Chung Ngan,et al.  Decision making with extended fuzzy linguistic computing, with applications to new product development and survey analysis , 2011, Expert Syst. Appl..

[45]  Dr. Hans Hellendoorn,et al.  An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.

[46]  Wei-Shen Tai,et al.  A new evaluation model for intellectual capital based on computing with linguistic variable , 2009, Expert Syst. Appl..

[47]  Yanbing Ju,et al.  Projection method for multiple criteria group decision making with incomplete weight information in linguistic setting , 2013 .

[48]  Macarena Espinilla,et al.  Fuzzy Linguistic Olive Oil Sensory Evaluation Model based on Unbalanced Linguistic Scales , 2014, J. Multiple Valued Log. Soft Comput..

[49]  Yu Lin.  Method for Risk Evaluation of High-Technology with 2-Tuple Linguistic Information , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[50]  Mahmoud Abdelhamid,et al.  Using Quality Function Deployment and Analytical Hierarchy Process for material selection of Body-In-White , 2011 .

[51]  Hisao Ishibuchi,et al.  Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining , 2004, Advanced information processing.

[52]  Jian-Bo Yang,et al.  A Fuzzy Model for Design Evaluation Based on Multiple Criteria Analysis in Engineering Systems , 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[53]  Diala Dhouib,et al.  A new multi-criteria approach dealing with dependent and heterogeneous criteria for end-of-life product strategy , 2011, Appl. Math. Comput..

[54]  Ching-Hsue Cheng,et al.  A modified two-tuple FLC model for evaluating the performance of SCM: By the Six Sigma DMAIC process , 2007, Appl. Soft Comput..

[55]  Francisco Herrera,et al.  Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions , 2011, Soft Comput..

[56]  Jianli Wei.  A Risk Evaluation Method for the High-Technology Project Investment Based on ET-WA Operator with 2-Tuple Linguistic Information , 2010, J. Convergence Inf. Technol..

[57]  Zheng Pei,et al.  Linguistic interval 2-tuple power aggregation operators and their applications , 2013, Int. J. Comput. Intell. Syst..

[58]  Enrique Herrera-Viedma,et al.  A quality evaluation methodology for health-related websites based on a 2-tuple fuzzy linguistic approach , 2010, Soft Comput..

[59]  Diala Dhouib.  An extension of MACBETH method for a fuzzy environment to analyze alternatives in reverse logistics for automobile tire wastes , 2014 .

[60]  Roberta Costa,et al.  A multidimensional approach for CSR assessment: The importance of the stakeholder perception , 2013, Expert Syst. Appl..

[61]  Luis Martínez-López,et al.  A multi-granular linguistic model for management decision-making in performance appraisal , 2009, Soft Comput..

[62]  Shu-Ping Wan,et al.  Some Hybrid Geometric Aggregation Operators with 2-tuple Linguistic Information and Their Applications to Multi-attribute Group Decision Making , 2013, Int. J. Comput. Intell. Syst..

[63]  Enrique Herrera-Viedma,et al.  A linguistic multicriteria decision‐making model applied to hotel service quality evaluation from web data sources , 2012, Int. J. Intell. Syst..

[64]  Jesús Alcalá-Fdez,et al.  A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning , 2011, IEEE Transactions on Fuzzy Systems.

[65]  Macarena Espinilla,et al.  Pure linguistic PROMETHEE I and II methods for heterogeneous MCGDM problems , 2015, Int. J. Comput. Intell. Syst..

[66]  Hu-Chen Liu,et al.  Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights , 2013 .

[67]  Zheng Pei,et al.  Fuzzy risk analysis based on linguistic aggregation operators , 2011 .

[68]  Francisco Herrera,et al.  Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms , 2009, Fuzzy Sets Syst..

[69]  E. Ertugrul Karsak,et al.  A fuzzy MCDM approach for personnel selection , 2010, Expert Syst. Appl..

[70]  Shilin Zhang,et al.  A model for evaluating computer network security systems with 2-tuple linguistic information , 2011, Comput. Math. Appl..

[71]  Francisco Herrera,et al.  A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis , 2005, Int. J. Intell. Syst..

[72]  Wen-Pai Wang,et al.  Toward developing agility evaluation of mass customization systems using 2-tuple linguistic computing , 2009, Expert Syst. Appl..