Uncertainty Modelling In Knowledge Engineering And Decision Making - Proceedings Of The 12th International Flins Conference (Flins 2016)

Uncertainty Modelling In Knowledge Engineering And Decision Making - Proceedings Of The 12th International Flins Conference (Flins 2016)
Author: Xianyi Zeng
Publisher: World Scientific
Total Pages: 1207
Release: 2016-07-14
Genre: Computers
ISBN: 9813146982

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 to the 12th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.

Data Science And Knowledge Engineering For Sensing Decision Support - Proceedings Of The 13th International Flins Conference

Data Science And Knowledge Engineering For Sensing Decision Support - Proceedings Of The 13th International Flins Conference
Author: Jun Liu
Publisher: World Scientific
Total Pages: 1625
Release: 2018-07-30
Genre: Computers
ISBN: 9813273240

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.

Artificial Intelligence for Fashion Industry in the Big Data Era

Artificial Intelligence for Fashion Industry in the Big Data Era
Author: Sébastien Thomassey
Publisher: Springer
Total Pages: 289
Release: 2018-05-16
Genre: Business & Economics
ISBN: 9811300801

This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application

Aggregation Functions in Theory and in Practice

Aggregation Functions in Theory and in Practice
Author: Vicenç Torra
Publisher: Springer
Total Pages: 288
Release: 2017-05-17
Genre: Technology & Engineering
ISBN: 3319593064

This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Author: Jesús Medina
Publisher: Springer
Total Pages: 773
Release: 2018-05-30
Genre: Computers
ISBN: 3319914766

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion
Author: Azzah Awang
Publisher: Infinite Study
Total Pages: 26
Release:
Genre: Mathematics
ISBN:

The recent boom of various integrated decision-making methods has attracted many researchers to the field. The recent integrated Analytic Network Process and Decision Making Trial and Evaluation Laboratory (ANP–DEMATEL) methods were developed based on crisp numbers and fuzzy numbers. However, these numbers are incapable of dealing with the indeterminant and inconsistent information that exists in real-life problems. This paper proposes improvements to the integrated ANP–DEMATEL method by bringing together the neutrosophic numbers, the ANP method, and the DEMATEL method, which are later abbreviated to NS-DANP.

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)
Author: Zhong Li
Publisher: World Scientific
Total Pages: 1588
Release: 2020-08-04
Genre: Technology & Engineering
ISBN: 9811223343

FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

Fuzzy Analytic Hierarchy Process

Fuzzy Analytic Hierarchy Process
Author: Ali Emrouznejad
Publisher: CRC Press
Total Pages: 408
Release: 2017-09-18
Genre: Business & Economics
ISBN: 1498732488

This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP). The AHP is a conceptually and mathematically simple, easily implementable, yet extremely powerful tool for group decision making and is used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, and education. The aim of this book is to study various fuzzy methods for dealing with the imprecise and ambiguous data in AHP. Features: First book available on FAHP. Showcases state-of-the-art developments. Contains several novel real-life applications. Provides useful insights to both academics and practitioners in making group decisions under uncertainty This book provides the necessary background to work with existing fuzzy AHP models. Once the material in this book has been mastered, the reader will be able to apply fuzzy AHP models to his or her problems for making decisions with imprecise data.

Digital Manufacturing Technology for Sustainable Anthropometric Apparel

Digital Manufacturing Technology for Sustainable Anthropometric Apparel
Author: Norsaadah Zakaria
Publisher: Woodhead Publishing
Total Pages: 253
Release: 2022-05-13
Genre: Technology & Engineering
ISBN: 0128241780

Digital Manufacturing Technology for Sustainable Anthropometric Apparel is a thorough and practical examination of the state-of-the-art in anthropometric apparel manufacturing technology. The scale of the textiles industry, in economic as well as environmental terms, is so significant that new technologies and techniques that deliver improvements are of great global interest. Consumer preferences and government regulations are causing apparel manufacturers to prioritize sustainable practices, and at a time of unprecedented technological evolution and competitive pressure, integrating these measures with other priorities is a key challenge.By combining the expertise of contributors from the worlds of technology change management and technical textiles engineering, this book provides a unique interdisciplinary resource for organizational as well as technical implementation. Newly developed Industry 4.0 technologies are addressed, along with the latest data collection and analysis methods. - Provides practical technical instructions for the implementation of new technologies for 3D body scanning, and anthropometric design and sizing - Explains the latest technical methods for the collection of anthropometric data and examines related ethical issues - Shows how to integrate anthropometric design methodologies into a full smart manufacturing system