The 2 Tuple Linguistic Model
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The 2 Tuple Linguistic Model
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Author : Luis Martínez
language : en
Publisher: Springer
Release Date : 2015-12-09
The 2 Tuple Linguistic Model written by Luis Martínez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-09 with Computers categories.
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
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Author : Xin-De Li
language : en
Publisher: Infinite Study
Release Date :
Combination Of Qualitative Information With 2 Tuple Linguistic Representation In Dezert Smarandache Theory written by Xin-De Li and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
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.
Linguistic Decision Making
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Author : Yucheng Dong
language : en
Publisher: Springer
Release Date : 2018-12-11
Linguistic Decision Making written by Yucheng Dong and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-11 with Language Arts & Disciplines categories.
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.
Soft Computing For Sustainability Science
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Author : Carlos Cruz Corona
language : en
Publisher: Springer
Release Date : 2017-07-12
Soft Computing For Sustainability Science written by Carlos Cruz Corona and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Technology & Engineering categories.
This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.
Artificial Intelligence And Soft Computing
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Author : Leszek Rutkowski
language : en
Publisher: Springer
Release Date : 2012-04-23
Artificial Intelligence And Soft Computing written by Leszek Rutkowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-23 with Computers categories.
The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.
Improved Fmea Methods For Proactive Healthcare Risk Analysis
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Author : Hu-Chen Liu
language : en
Publisher: Springer
Release Date : 2019-02-14
Improved Fmea Methods For Proactive Healthcare Risk Analysis written by Hu-Chen Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-14 with Science categories.
This book offers an in-depth and systematic introduction to improved failure mode and effects analysis (FMEA) methods for proactive healthcare risk analysis. Healthcare risk management has become an increasingly important issue for hospitals and managers. As a prospective reliability analysis technique, FMEA has been widely used for identifying and eliminating known and potential failures in systems, designs, products or services. However, the traditional FMEA has a number of weaknesses when applied to healthcare risk management. This book provides valuable insights into useful FMEA methods and practical examples that can be considered when applying FMEA to enhance the reliability and safety of the healthcare system. This book is very interesting for practitioners and academics working in the fields of healthcare risk management, quality management, operational research, and management science and engineerin. It can be considered as the guiding document for how a healthcare organization proactively identifies, manages and mitigates the risk of patient harm. This book also serves as a valuable reference for postgraduate and senior undergraduate students.
Data Science And Knowledge Engineering For Sensing Decision Support Proceedings Of The 13th International Flins Conference
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Author : Jun Liu
language : en
Publisher: World Scientific
Release Date : 2018-07-30
Data Science And Knowledge Engineering For Sensing Decision Support Proceedings Of The 13th International Flins Conference written by Jun Liu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-30 with Computers categories.
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.
Modeling Complex Linguistic Information To Support Group Decision Making Under Uncertainty
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Author : Zhen Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-07-16
Modeling Complex Linguistic Information To Support Group Decision Making Under Uncertainty written by Zhen Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Business & Economics categories.
This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic computational models, this book presents methods tailored to various types of group decision making problems under uncertainty. Additionally, it delves into group decision making problems where the personalized individual semantics of experts are considered. The book also showcases practical applications of the proposed group decision making methods, ranging from ERP system supplier selection to talent recruitment, subway line selection, and location selection for electric vehicle charging stations. By shedding light on novel models for modeling complex linguistic information and introducing new approaches to addressing linguistic group decision making challenges, this book offers valuable insights for engineers, researchers, and postgraduates interested in decision analysis, operations research, computational intelligence, management science and engineering, and related fields.
Transactions On Engineering Technologies
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Author : Sio-Iong Ao
language : en
Publisher: Springer Nature
Release Date : 2020-01-08
Transactions On Engineering Technologies written by Sio-Iong Ao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-08 with Mathematics categories.
This volume contains a selection of revised and extended research articles written by prominent researchers participating in The 26th World Congress on Engineering (WCE 2018) which was held in London, U.K., July 4-6, 2018. Topics covered include engineering mathematics, electrical engineering, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications. With contributions carefully chosen to represent the most cutting-edge research presented during the conference, the book contains some of the state-of-the-art in engineering technologies and the physical sciences and their applications, and serves as a useful reference for researchers and graduate students working in these fields.
Multiple Criteria Decision Making Methods With Multi Polar Fuzzy Information
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Author : Muhammad Akram
language : en
Publisher: Springer Nature
Release Date : 2023-12-03
Multiple Criteria Decision Making Methods With Multi Polar Fuzzy Information written by Muhammad Akram and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-03 with Computers categories.
This book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making. It reports on set of hybrid models developed by the authors, and show how they can be adapted, case by case, to the lack of certainty under a variety of criteria. Among them, hybrid models combining m-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, and m-polar hesitant fuzzy sets and hesitant m-polar fuzzy are presented, together with some significant applications. In turn, outranking decision-making techniques such as m-polar fuzzy ELECTRE I, II, III and IV methods, as well as m-polar fuzzy PROMETHEE I and II methods, are developed. The efficiency of these decision-making procedures, as well as other possible extensions studied by the authors, is shown in some real-world applications. Overall, this book offers a guide on methodologies to deal with the multi-polarity and fuzziness of the real-world problems, simultaneously. By including algorithms and computer programming codes, it provides a practice-oriented reference guide to both researchers and professionals working at the interface between computational intelligence and decision making.