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The 2-tuple Linguistic Model

Computing with Words in Decision Making

Author: Luis Martínez

Publisher: Springer

ISBN:

Category: Computers

Page: 168

View: 188

This 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.

Combination of Qualitative Information with 2-Tuple Linguistic Representation in Dezert-Smarandache Theory

Author: Xin-De Li

Publisher: Infinite Study

ISBN:

Category:

Page: 12

View: 327

Modern systems for information retrieval, fusion and management need to deal more and more with information coming from human experts usually expressed qualitatively in natural language with linguistic labels.

Models for MADM with Single-Valued Neutrosophic 2-Tuple Linguistic Muirhead Mean Operators

Author: Jie Wang

Publisher: Infinite Study

ISBN:

Category: Mathematics

Page: 35

View: 908

In this article, we expand the Muirhead mean (MM) operator and dual Muirhead mean (DMM) operator with single-valued neutrosophic 2-tuple linguistic numbers (SVN2TLNs) to propose the single-valued neutrosophic 2-tuple linguistic Muirhead mean (SVN2TLMM) operator, the single-valued neutrosophic 2-tuple linguistic weighted Muirhead mean (SVN2TLWMM) operator, the single-valued neutrosophic 2-tuple linguistic dual Muirhead mean (SVN2TLDMM) operator, and the single-valued neutrosophic 2-tuple linguistic weighted dual Muirhead mean (SVN2TLWDMM) operator. Multiple attribute decision making (MADM) methods are then proposed using these operators. Finally, we utilize an applicable example for green supplier selection in green supply chain management to prove the proposed methods.

Models for Green Supplier Selection with Some 2-Tuple Linguistic Neutrosophic Number Bonferroni Mean Operators

Author: Jie Wang

Publisher: Infinite Study

ISBN:

Category:

Page: 36

View: 639

In this paper, we extend the Bonferroni mean (BM) operator, generalized Bonferroni mean (GBM) operator, dual generalized Bonferroni mean (DGBM) operator and dual generalized geometric Bonferroni mean (DGGBM) operator with 2-tuple linguistic neutrosophic numbers (2TLNNs) to propose 2-tuple linguistic neutrosophic numbers weighted Bonferroni mean (2TLNNWBM) operator, 2-tuple linguistic neutrosophic numbers weighted geometric Bonferroni mean (2TLNNWGBM) operator, generalized 2-tuple linguistic neutrosophic numbers weighted Bonferroni mean (G2TLNNWBM) operator, generalized 2-tuple linguistic neutrosophic numbers weighted geometric Bonferroni mean (G2TLNNWGBM) operator, dual generalized 2-tuple linguistic neutrosophic numbers weighted Bonferroni mean (DG2TLNNWBM) operator, and dual generalized 2-tuple linguistic neutrosophic numbers weighted geometric Bonferroni mean (DG2TLNNWGBM) operator.

Linguistic Decision Making

Numerical Scale Model and Consistency-Driven Methodology

Author: Yucheng Dong

Publisher: Springer

ISBN:

Category: Language Arts & Disciplines

Page: 209

View: 234

This book proposes a novel CWW model to personalize individual semantics in linguistic decision making, based on two new concepts: numerical scale and consistency-driven methodology. The numerical scale model provides a unified framework to connect different linguistic symbolic computational models for CWW, and the consistency-driven methodology customizes individuals’ semantics to support linguistic group decision making by setting personalized numerical scales. The book is a valuable resource for researchers and postgraduates who are interested in CWW in linguistic decision making.

Proceedings of the Seventh International Conference on Management Science and Engineering Management

Focused on Electrical and Information Technology

Author: Jiuping Xu

Publisher: Springer Science & Business Media

ISBN:

Category: Business & Economics

Page: 770

View: 853

This book presents the proceedings of the Seventh International Conference on Management Science and Engineering Management (ICMSEM2013) held from November 7 to 9, 2013 at Drexel University, Philadelphia, Pennsylvania, USA and organized by the International Society of Management Science and Engineering Management, Sichuan University (Chengdu, China) and Drexel University (Philadelphia, Pennsylvania, USA). The goals of the Conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current research findings. The selected papers cover various areas in management science and engineering management, such as Decision Support Systems, Multi-Objective Decisions, Uncertain Decisions, Computational Mathematics, Information Systems, Logistics and Supply Chain Management, Relationship Management, Scheduling and Control, Data Warehousing and Data Mining, Electronic Commerce, Neural Networks, Stochastic Models and Simulation, Fuzzy Programming, Heuristics Algorithms, Risk Control, Organizational Behavior, Green Supply Chains, and Carbon Credits. The proceedings introduce readers to novel ideas on and different problem-solving methods in Management Science and Engineering Management. We selected excellent papers from all over the world, integrating their expertise and ideas in order to improve research on Management Science and Engineering Management.

Fusion of qualitative information using imprecise 2 -tuple labels

Author: Xinde Li

Publisher: Infinite Study

ISBN:

Category:

Page: 25

View: 621

In this chapter, Herrera-Martınez 2-tuple linguistic representation model is extended for combining imprecise qualitative information using fusion rules drawn from Dezert-Smarandache Theory (DSmT) or from Dempster-Shafer Theory (DST) frameworks.

Joint 9th IFSA World Congress and 20th NAFIPS International Conference

Proceedings : July 25-28, 2001, Vancouver, British Columbia, Canada

Author: International Fuzzy Systems Association

Publisher:

ISBN:

Category: Fuzzy logic

Page: 3100

View: 597

Intelligent Control Systems and Signal Processing 2003

(ICONS 2003) ; a Proceedings Volume from the IFAC International Conference, Faro, Algarve, Portugal, 8-11 April 2003

Author: M. G. Ruano

Publisher: Pergamon Press

ISBN:

Category: Computers

Page: 536

View: 473

KEY FEATURES: The first IFAC conference and thus proceedings to be specifically devoted to this field Presents the findings of experts and practitioners from the major soft- computing themes Provides an overview of the theory and applications of intelligent control systems and signal processing Intelligent control systems and signal processing 2003 contains the selection of papers presented at the IFAC International Conference on Intelligent Control systems and Signal Processing (ICONS) 2003. The conference was sponsored by the most important organizations in the field, among them were the Institue of Electrical and Electronic Engineers (IEEE), and the Control Systems Society (CSS) This proceedings volume contains 98 papers, with three separate reviewers having reviewed all papers, Including six plenary lectures given by leading experts in the field.

TODIM Method for Multiple Attribute Group Decision Making under 2-Tuple Linguistic Neutrosophic Environment

Author: Jie Wang

Publisher: Infinite Study

ISBN:

Category: Business & Economics

Page: 17

View: 195

In this article, we extend the original TODIM (Portuguese acronym for Interactive Multi-Criteria Decision Making) method to the 2-tuple linguistic neutrosophic fuzzy environment to propose the 2TLNNs TODIM method. In the extended method, we use 2-tuple linguistic neutrosophic numbers (2TLNNs) to present the criteria values in multiple attribute group decision making (MAGDM) problems.

Fusion of imprecise qualitative information

Author: Xinde Li

Publisher: Infinite Study

ISBN:

Category:

Page: 12

View: 690

In this paper, we present a new 2-tuple linguistic representation model, i.e. Distribution Function Model (DFM), for combining imprecise qualitative information using fusion rules drawn from Dezert-Smarandache Theory (DSmT) framework.

Journal of Dong Hua University

Author:

Publisher:

ISBN:

Category: Textile fabrics

Page:

View: 226

Journal of Southeast University

Author:

Publisher:

ISBN:

Category: Science

Page:

View: 246

Multiple Attribute Group Decision Making Based on 2-Tuple Linguistic Neutrosophic Dombi Power Heronian Mean Operators

Author: Peide Liu

Publisher: Infinite Study

ISBN:

Category: Mathematics

Page: 22

View: 862

As an expansion of 2-tuple linguistic intuitionistic fuzzy set, the newly developed 2-tuple linguistic neutrosophic set (2-TLNS) is more satisfactory to define decision maker’s assessment information in decision making problems. 2-TLN aggregation operators are of great significance in multiple attribute group decision making (MAGDM) problems with a 2-tuple linguistic environment. Therefore, in this article our main contribution is to develop novel 2-TLN power Heronian aggregation (2-TLNPHM) operators.

Fuzzy Applications in Industrial Engineering

Author: Cengiz Kahraman

Publisher: Springer-Verlag New York Incorporated

ISBN:

Category: Business & Economics

Page: 615

View: 689

After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment

Author: Guiwu Wei

Publisher: Infinite Study

ISBN:

Category: Mathematics

Page: 25

View: 886

In this article, the VIKOR method is proposed to solve the multiple criteria group decision making (MCGDM) with 2-tuple linguistic neutrosophic numbers (2TLNNs). Firstly, the fundamental concepts, operation formulas and distance calculating method of 2TLNNs are introduced. Then some aggregation operators of 2TLNNs are reviewed.

27th Annual International Computer Software and Applications Conference

Proceedings : COMPSAC 2003 : 3-6 November, 2003, Dallas, Texas, USA

Author:

Publisher: IEEE

ISBN:

Category: Computers

Page: 710

View: 304

In the COMPSAC tradition, the proceedings spans a broad and diverse range of both technical and non-technical topics, from basic methodology and software process design to such practical concerns as liability, risk and insurance issues.

Farming and Rural Systems Analyses in Forest Margins: an Application of Fuzzy Theory

The Case of West Tocantins, Brazil

Author: Marcos Alves dos Reys

Publisher:

ISBN:

Category: Agricultural systems

Page: 213

View: 213

LINGUISTIC VALUES BASED INTELLIGENT INFORMATION PROCESSING

Author: Pei Zheng

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 276

View: 566

Humans employ mostly natural languages in describing and representing problems, c- puting and reasoning, arriving at ?nal conclusions described similarly as words in a natural language or as the form of mental perceptions. To make machines imitate humans’ mental activities, the key point in terms of machine intelligence is to process uncertain information by means of natural languages with vague and imprecise concepts. Zadeh (1996a) proposed a concept of Computing with Words (CWW) to model and c- pute with linguistic descriptions that are propositions drawn from a natural language. CWW, followed the concept of linguistic variables (Zadeh, 1975a,b) and fuzzy sets (Zadeh, 1965), has been developed intensively and opened several new vast research ?elds as well as applied in various areas, particularly in the area of arti?cial intelligence. Zadeh (1997, 2005) emphasized that the core conceptions in CWW are linguistic variables and fuzzy logic (or approximate reasoning). In a linguistic variable, each linguistic value is explained by a fuzzy set (also called semantics of the linguistic value), its membership function is de?ned on the universe of discourse of the linguistic variable. By fuzzy sets, linguistic information or statements are quanti?ed by membership functions, and infor- tion propagation is performed by approximate reasoning. The use of linguistic variables implies processes of CWW such as their fusion, aggregation, and comparison. Different computational approaches in the literature addressed those processes (Wang, 2001; Zadeh and Kacprzyk, 1999a, b). Membership functions are generally at the core of many fuzzy-set theories based CWW.

Advances in Web Intelligence

... International Atlantic Web Intelligence Conference, AWIC ... : Proceedings

Author:

Publisher:

ISBN:

Category: Artificial intelligence

Page:

View: 226

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