Cognitive Intelligence With Neutrosophic Statistics In Bioinformatics

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• Author : Florentin Smarandache,Muhammad Aslam
• Publisher : Elsevier
• Release Date : 2023-02-11
• Total pages : 495
• ISBN : 9780323994576
• File Size : 31,7 Mb
• Total Download : 452
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Download Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics in PDF, Epub, and Kindle

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data. Introduces the field of neutrosophic statistics and how it can solve problems working with indeterminate (imprecise, ambiguous, vague, incomplete, unknown) data Presents various applications of neutrosophic statistics in the fields of bioinformatics, medicine, cognitive science and agriculture Provides practical examples and definitions of neutrosophic statistics in relation to the various types of indeterminacies

• Author : Haibin Wang,Florentin Smarandache,Rajshekhar Sunderraman,Yan-Qing Zhang
• Publisher : Infinite Study
• Release Date : 2005
• Total pages : 87
• ISBN : 9781931233941
• File Size : 41,9 Mb
• Total Download : 625
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Download Interval Neutrosophic Sets and Logic: Theory and Applications in Computing in PDF, Epub, and Kindle

This book presents the advancements and applications of neutrosophics, which are generalizations of fuzzy logic, fuzzy set, and imprecise probability. The neutrosophic logic, neutrosophic set, neutrosophic probability, and neutrosophic statistics are increasingly used in engineering applications (especially for software and information fusion), medicine, military, cybernetics, physics.In the last chapter a soft semantic Web Services agent framework is proposed to facilitate the registration and discovery of high quality semantic Web Services agent. The intelligent inference engine module of soft semantic Web Services agent is implemented using interval neutrosophic logic.

• Author : Chao Tian,Wen Yu Zhang,Shuai Zhang,Juan Juan Peng
• Publisher : Infinite Study
• Release Date : 2023
• Total pages : 16
• ISBN : 1230987654XX
• File Size : 37,5 Mb
• Total Download : 758
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Download An Extended Single-Valued Neutrosophic Projection-Based Qualitative Flexible Multi-Criteria Decision-Making Method in PDF, Epub, and Kindle

With respect to multi-criteria decision-making (MCDM) problems in which the criteria denote the form of single-valued neutrosophic sets (SVNSs), and the weight information is also fully unknown, a novel MCDM method based on qualitative flexible multiple criteria (QUALIFLEX) is developed. Firstly, the improved cosine measure of the included angle between two SVNSs is defined.

• Author : Muhammad Aslam ,Ali Hussein AL-Marshadi ,Nasrullah Khan
• Publisher : Infinite Study
• Release Date : 2023
• Total pages : 13
• ISBN : 1230987654XX
• File Size : 24,9 Mb
• Total Download : 657
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Download A New X-Bar Control Chart for Using Neutrosophic ExponentiallyWeighted Moving Average in PDF, Epub, and Kindle

The existing Shewhart X-bar control charts using the exponentially weighted moving average statistic are designed under the assumption that all observations are precise, determined, and known. In practice, it may be possible that the sample or the population observations are imprecise or fuzzy. In this paper, we present the designing of the X-bar control chart under the symmetry property of normal distribution using the neutrosophic exponentially weighted moving average statistics. We will first introduce the neutrosophic exponentially weighted moving average statistic, and then use it to design the X-bar control chart for monitoring the data under an uncertainty environment. We will determine the neutrosophic average run length using the neutrosophic Monte Carlo simulation. The eciency of the proposed plan will be compared with existing control charts.

• Author : Habib Izadkhah
• Publisher : Academic Press
• Release Date : 2022-01-08
• Total pages : 382
• ISBN : 9780128238363
• File Size : 9,8 Mb
• Total Download : 131
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Download Deep Learning in Bioinformatics in PDF, Epub, and Kindle

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies. Introduces deep learning in an easy-to-understand way Presents how deep learning can be utilized for addressing some important problems in bioinformatics Presents the state-of-the-art algorithms in deep learning and bioinformatics Introduces deep learning libraries in bioinformatics

• Author : Florentin Smarandache
• Publisher : Infinite Study
• Release Date : 2010-08-23
• Total pages : 10
• ISBN : 1230987654XX
• File Size : 55,7 Mb
• Total Download : 122
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Download Neutrosophic Set - A Generalization of The Intuitionistic Fuzzy Set in PDF, Epub, and Kindle

In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.

• Author : Liangsong Huang ,Yu Hu,Yuxia Li,P. K. Kishore Kumar,Dipak Koley ,Arindam Dey
• Publisher : Infinite Study
• Release Date : 2023
• Total pages : 20
• ISBN : 1230987654XX
• File Size : 39,5 Mb
• Total Download : 376
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Download A Study of Regular and Irregular Neutrosophic Graphs with Real Life Applications in PDF, Epub, and Kindle

Fuzzy graph theory is a useful and well-known tool to model and solve many real-life optimization problems. Since real-life problems are often uncertain due to inconsistent and indeterminate information, it is very hard for an expert to model those problems using a fuzzy graph. A neutrosophic graph can deal with the uncertainty associated with the inconsistent and indeterminate information of any real-world problem, where fuzzy graphs may fail to reveal satisfactory results.

• Author : Jiefeng Wang ,Shouzhen Zeng,Chonghui Zhang
• Publisher : Infinite Study
• Release Date : 2023
• Total pages : 15
• ISBN : 1230987654XX
• File Size : 43,8 Mb
• Total Download : 244
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Download Single-Valued Neutrosophic Linguistic Logarithmic Weighted Distance Measures and Their Application to Supplier Selection of Fresh Aquatic Products in PDF, Epub, and Kindle

A single-valued neutrosophic linguistic set (SVNLS) is a popular fuzzy tool for describing deviation information in uncertain complex situations. The aim of this paper is to study some logarithmic distance measures and study their usefulness in multiple attribute group decision making (MAGDM) problems within single-valued neutrosophic linguistic (SVNL) environments.

• Author : W. B. Vasantha Kandasamy,Florentin Smarandache
• Publisher : Infinite Study
• Release Date : 2006-01-01
• Total pages : 154
• ISBN : 9781931233200
• File Size : 12,8 Mb
• Total Download : 471
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Download Neutrosophic Rings in PDF, Epub, and Kindle

Research on algebraic structure of group rings is one of the leading, most sought-after topics in ring theory. The new class of neutrosophic rings defined in this book form a generalization of group rings and semigroup rings.The study of the classes of neutrosophic group neutrosophic rings and S-neutrosophic semigroup neutrosophic rings which form a type of generalization of group rings will throw light on group rings and semigroup rings which are essential substructures of them. A salient feature of this group is the many suggested problems on the new classes of neutrosophic rings, solutions of which will certainly develop some of the still open problems in group rings.Further, neutrosophic matrix rings find applications in neutrosophic models like Neutrosophic Cognitive Maps (NCM), Neutrosophic Relational Maps (NRM), Neutrosophic Bidirectional Memories (NBM) and so on.

• Author : Jie Wang ,Jianping Lu,Guiwu Wei ,Rui Lin,Cun Wei
• Publisher : Infinite Study
• Release Date : 2023
• Total pages : 35
• ISBN : 1230987654XX
• File Size : 33,7 Mb
• Total Download : 916
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Download Models for MADM with Single-Valued Neutrosophic 2-Tuple Linguistic Muirhead Mean Operators in PDF, Epub, and Kindle

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.

• Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
• Publisher : Springer
• Release Date : 2019-07-05
• Total pages : 1392
• ISBN : 9783030237561
• File Size : 32,5 Mb
• Total Download : 850
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Download Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making in PDF, Epub, and Kindle

This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

• Author : Florentin Smarandache
• Publisher : Unknown
• Release Date : 1998
• Total pages : 110
• ISBN : STANFORD:36105112484626
• File Size : 25,7 Mb
• Total Download : 693
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Download Neutrosophy in PDF, Epub, and Kindle

PDF book entitled Neutrosophy written by Florentin Smarandache and published by Unknown which was released on 1998 with total hardcover pages 110, the book become popular and critical acclaim.

• Author : Juan-Juan Peng ,Chao Tian
• Publisher : Infinite Study
• Release Date : 2023
• Total pages : 15
• ISBN : 1230987654XX
• File Size : 55,9 Mb
• Total Download : 512
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Download Multi-Valued Neutrosophic Distance-Based QUALIFLEX Method for Treatment Selection in PDF, Epub, and Kindle

Multi-valued neutrosophic sets (MVNSs) consider the truth-membership, indeterminacy-membership, and falsity-membership simultaneously, which can more accurately express the preference information of decision-makers. In this paper, the normalized multi-valued neutrosophic distance measure is developed firstly and the corresponding properties are investigated as well. Secondly, the normalized multi-valued neutrosophic distance difference is defined and the corresponding partial ordering relation is discussed. Thirdly, based on the developed distances and comparison method, an extended multi-valued neutrosophic QUALItative FLEXible multiple criteria (QUALIFLEX) method is proposed to handle MCDM problems where the weights of criteria are completely unknown. Finally, an example for selection of medical diagnostic plan is provided to demonstrate the proposed method, together with sensitivity analysis and comparison analysis.

• Author : Daniel A. Griffith
• Publisher : Unknown
• Release Date : 1987
• Total pages : 100
• ISBN : UOM:39076000645668
• File Size : 11,9 Mb
• Total Download : 411
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Download Spatial Autocorrelation in PDF, Epub, and Kindle

PDF book entitled Spatial Autocorrelation written by Daniel A. Griffith and published by Unknown which was released on 1987 with total hardcover pages 100, the book become popular and critical acclaim.

• Author : Robert Nisbet,Gary Miner,Ken Yale
• Publisher : Elsevier
• Release Date : 2017-11-09
• Total pages : 822
• ISBN : 9780124166455
• File Size : 14,6 Mb
• Total Download : 822
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Download Handbook of Statistical Analysis and Data Mining Applications in PDF, Epub, and Kindle

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

• Author : Yanhui Guo,Amira S. Ashour
• Publisher : Academic Press
• Release Date : 2019-08-08
• Total pages : 370
• ISBN : 9780128181492
• File Size : 37,5 Mb
• Total Download : 322
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Download Neutrosophic Set in Medical Image Analysis in PDF, Epub, and Kindle

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis

• Author : Qaisar Khan ,Peide Liu ,Tahir Mahmood
• Publisher : Infinite Study
• Release Date : 2023
• Total pages : 16
• ISBN : 1230987654XX
• File Size : 30,9 Mb
• Total Download : 895
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Download Some Generalized Dice Measures for Double-Valued Neutrosophic Sets and Their Applications in PDF, Epub, and Kindle

Neutrosophic sets (NSs) are used to illustrate uncertain, inconsistent, and indeterminate information existing in real-world problems. Double-valued neutrosophic sets (DVNSs) are an alternate form of NSs, in which the indeterminacy has two distinct parts: indeterminacy leaning toward truth membership, and indeterminacy leaning toward falsity membership. The aim of this article is to propose novel Dice measures and generalized Dice measures for DVNSs, and to specify Dice measures and asymmetric measures (projection measures) as special cases of generalized Dice measures via specific parameter values. Finally, the proposed generalized Dice measures and generalized weighted Dice measures were applied to pattern recognition and medical diagnosis to show their effectiveness.

• Author : Turan Paksoy,Cigdem Gonul Kochan,Sadia Samar Ali
• Publisher : CRC Press
• Release Date : 2020-12-18
• Total pages : 368
• ISBN : 9781000245103
• File Size : 35,6 Mb
• Total Download : 577
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Download Logistics 4.0 in PDF, Epub, and Kindle

Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.

• Author : Steven Brown
• Publisher : Elsevier
• Release Date : 2009-03-09
• Total pages : 691
• ISBN : 9780444527011
• File Size : 22,6 Mb
• Total Download : 340
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Download Comprehensive Chemometrics in PDF, Epub, and Kindle

Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications. This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data. Features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg Examines the merits and limitations of each technique through practical examples and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color) Integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques Consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind Offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect

• Author : John Kruschke
• Publisher : Academic Press
• Release Date : 2014-11-11
• Total pages : 776
• ISBN : 9780124059160
• File Size : 44,8 Mb
• Total Download : 987
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Download Doing Bayesian Data Analysis in PDF, Epub, and Kindle

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and JAGS software Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis) Coverage of experiment planning R and JAGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs

• Author : Diego Oliva
• Publisher : Springer Nature
• Release Date : 2023
• Total pages : 765
• ISBN : 9783030705428
• File Size : 18,9 Mb
• Total Download : 244
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Download Metaheuristics in Machine Learning: Theory and Applications in PDF, Epub, and Kindle

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.