The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis. It further covers image processing techniques like Viola-Jones Method for face detection and fuzzy approach for person video emotion. It will serve as an ideal reference text for graduate students and academic researchers in the fields of mechanical engineering, electronics, communication engineering, computer engineering, and mathematics. This book: Discusses applications of neural networks, machine learning, image processing, and mathematical modeling. Provides simulations techniques in machine learning and image processing-based problems. Highlights artificial intelligence and machine learning techniques in the detection of diseases. Introduces mathematical modeling techniques such as wavelet transform, modeling using differential equations, and numerical techniques for multi-dimensional data. Includes real-life problems for better understanding. The book presents mathematical modeling techniques such as wavelet transform, differential equations, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as mechanical, electronics and communication and computer.

This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.

This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability. The uncertainty in the business world is increasing. Significant changes are generated unexpectedly, so using fuzzy logic and soft computing methods allows us to create flexible scenarios adaptable to new realities. Within the book, we will find different applications of fuzzy methodologies that can apply to various topics such as sustainability, innovation, tourism, costs, exports, systems administration, among others. The book's main contribution is the applicability of the various methodologies to specific cases, which allows generating a relationship between theory and practice. In addition, it has some bibliometric studies on various topics that give us a visualization of what has happened and where multiple topics are headed. This book is recommended mainly for students who wish to know how the various fuzzy and soft computing tools can be taken to real situations, allowing a better understanding of these and generating new visions of future applicability.

This book aims to contribute to the discussion about the implications of fuzzy logic, neural networks, digital era, and other intelligent techniques on organizations. This book will be very useful for academic researchers and postgraduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments and developing models to make decisions. Developments in other theories and socioeconomic and computational changes have shed light on the importance of fuzzy applications in social sciences. The treatment of uncertainty in the economic and business analysis is fundamental and requires instruments compatible with the uncertain environment of economics and business, because most of the traditional models have been overtaken by this reality when trying to make decisions with uncertain information. In the face of information technology, digitization, and uncertainty, organizations confront new opportunities and challenges. In order to take advantage of these opportunities and overcome current and future challenges, it is needed to understand the evolution of these phenomenon.

This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the International Conference on "Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy," organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics, Institution of Engineers (IEI) - Gujarat and Computer Society of India (CSI) - Ahmedabad. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.

This book is a compilation of works of different areas that seek to apply the intelligent and complex systems in various applied problems. The problems that are worked in the book are the evaluation of the competence of the states, fuzzy classification, relationship between incentives and innovation, design of new products, analysis of profiles in social networks, innovation capabilities, software development, business growth, leadership and use of big data.

This book includes a collection of selected papers presented at the International Conference on Modelling and Simulation in Engineering, Economics, and Management, held at the Faculty of Economics and Business at the University of Girona, Spain, 28-29 June 2018.The conference was organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE) and the University of Girona with the aim of promoting research in the field of modelling, simulation and management science. This book presents original research studies related to fuzzy logic, soft computing and uncertainty, as well as a number of papers in the field of bibliometrics in social sciences. Presenting new advances in these areas, with a special focus on management, economics and social sciences. It is of great interest to researchers and Ph.D. students working in the field of fuzzy logic, soft computing, uncertainty and bibliometrics.

This book analyses the importance of the entrepreneurial university, specifically in relation to the creation of entrepreneurial ideas and attitudes in students and entrepreneurial initiatives in academic institutions. The aim of the editors and contributing authors is to provide the reader with a set of experiences illustrating the advantages of communicating and encouraging entrepreneurship among students, thereby highlighting the "third mission" of the university: the need to adopt entrepreneurial strategy without disrupting the quality of teaching and research. Featuring initiatives from institutions around the world, the authors argue that the increasing importance of knowledge in the technical and social dimensions of today's world provides greater relevance to the entrepreneurial university. In this context, universities transcend their traditional focus on teaching and basic research to carry out technology transfers, marketing ideas, and patent registrations, and incorporate spin-off companies that contribute to industrial innovations, economic growth, and job creation. In the teaching dimension, the entrepreneurial university represents a focus on programs which train students in the applications and most advanced practices in knowledge-driven fields. The book addresses such questions as: Can marketing ideas deteriorate the quality of research in the long term? What importance does the cultural framework have for an entrepreneurial education? What circumstances and programs facilitate spin-offs in universities What are the key features of entrepreneurial universities? In reference to entrepreneurship education in its broadest sense, then, it corresponds to the framework of ideas and general features on which entrepreneurship is founded: in-depth knowledge of the projects or ventures which they wish to carry out, capacity to perceive the relevant characteristics of the environment, and the leadership and goal setting skills to achieve success.

This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science. Dedicated to Professor Jaume Gil Aluja in recognition of his pioneering work, the book reports on theories, methods and new challenges, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike.

This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The event was co-organized by the University of Barcelona (Spain), the Spanish Royal Academy of Economic and Financial Sciences (Spain) and the Forum for Interdisciplinary Mathematics (India). This instalment of the conference was presented with the title "Applied Mathematics and Computational Intelligence" and particularly focused on the use of Mathematics and Computational Intelligence techniques in a diverse range of scientific disciplines, as well as their applications in real-world problems. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering. This book will be of great interest to anyone working in the area of applied mathematics and computational intelligence and will be especially useful for scientists and graduate students pursuing research in these fields.

This book analyses the importance of the entrepreneurial university, specifically in relation to the creation of entrepreneurial ideas and attitudes in students and entrepreneurial initiatives in academic institutions. The aim of the editors and contributing authors is to provide the reader with a set of experiences illustrating the advantages of communicating and encouraging entrepreneurship among students, thereby highlighting the "third mission" of the university: the need to adopt entrepreneurial strategy without disrupting the quality of teaching and research. Featuring initiatives from institutions around the world, the authors argue that the increasing importance of knowledge in the technical and social dimensions of today's world provides greater relevance to the entrepreneurial university. In this context, universities transcend their traditional focus on teaching and basic research to carry out technology transfers, marketing ideas, and patent registrations, and incorporate spin-off companies that contribute to industrial innovations, economic growth, and job creation. In the teaching dimension, the entrepreneurial university represents a focus on programs which train students in the applications and most advanced practices in knowledge-driven fields. The book addresses such questions as: Can marketing ideas deteriorate the quality of research in the long term? What importance does the cultural framework have for an entrepreneurial education? What circumstances and programs facilitate spin-offs in universities What are the key features of entrepreneurial universities? In reference to entrepreneurship education in its broadest sense, then, it corresponds to the framework of ideas and general features on which entrepreneurship is founded: in-depth knowledge of the projects or ventures which they wish to carry out, capacity to perceive the relevant characteristics of the environment, and the leadership and goal setting skills to achieve success.

In an era of globalization, technological innovation, and social transformations, universities face the challenge of training students with the competencies needed to meet the demands of the market and to successfully integrate into today's workforce. This book looks at the university as a dynamic source of essential competencies and explores various skill management models, methodologies and innovations applied by educational institutions around the world. The demands of today's society represent a major challenge for universities and their teaching staffs. Professors need to adapt their teaching methods to meet these new challenges. For example, universities need to prepare new generations of students with the ability to select, update and use knowledge, rather than processing facts and formulas. Students need to be capable of learning in different contexts and modalities throughout their professional careers and learn to adapt their knowledge to new situations. In response, a conceptual and methodological change has taken place in the university organizational culture and in student curriculums. This book presents a variety of cases and observations on the competencies developed in the curriculums of universities around the world, with the aim to assure that graduates leave fully prepared to face the challenges of the new economy.

This book is a collection of selected papers presented at the Annual Meeting of the European Academy of Management and Business Economics (AEDEM), held at the Faculty of Economics and Business of the University of Barcelona, 05 - 07 June, 2012. This edition of the conference has been presented with the slogan "Creating new opportunities in an uncertain environment". There are different ways for assessing uncertainty in management but this book mainly focused on soft computing theories and their role in assessing uncertainty in a complex world. The present book gives a comprehensive overview of general management topics and discusses some of the most recent developments in all the areas of business and management including management, marketing, business statistics, innovation and technology, finance, sports and tourism. This book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.

The aim of this book is to analyze the relationships among entrepreneurship, regional development and culture in the current economy. Using an institutional approach, it examines the main theoretical issues and practices and their effect on different dimensions of society and the economy. Business creation is considered a key element of economic growth, innovation and employment. In recent years, entrepreneurial scholars have studied the factors that affect entrepreneurship and drive economic growth. In doing so, these scholars have aimed to understand what promotes entrepreneurial activity and also how to improve the development of regions or countries to increase wealth in society. The institutional approach can be applied to the entrepreneurship field to understand the phenomenon of entrepreneurship. This view considers the role of environment in the decision to create a company, which is critical to entrepreneurship, innovation and economic growth. Environment relates to legal aspects, public policy and support services (formal institutions) but is especially important in terms of sociocultural context (informal institutions). The creation of new ventures is greatly influenced by culture. Furthermore, it is important to highlight the influence of entrepreneurship on regional development, specifically through job creation, stimulation of economic growth and innovation. Thus, entrepreneurship, regional development and culture are fundamental for understanding economic growth and development as well as other phenomena such as technology transfer or women's entrepreneurship. Featuring contributions and cases studies from various countries and sectors, this volume provides an essential reference for scholars, academics, and researchers in entrepreneurship, business management, innovation and economics.

In an era of globalization, technological innovation, and social transformations, universities face the challenge of training students with the competencies needed to meet the demands of the market and to successfully integrate into today's workforce. This book looks at the university as a dynamic source of essential competencies and explores various skill management models, methodologies and innovations applied by educational institutions around the world. The demands of today's society represent a major challenge for universities and their teaching staffs. Professors need to adapt their teaching methods to meet these new challenges. For example, universities need to prepare new generations of students with the ability to select, update and use knowledge, rather than processing facts and formulas. Students need to be capable of learning in different contexts and modalities throughout their professional careers and learn to adapt their knowledge to new situations. In response, a conceptual and methodological change has taken place in the university organizational culture and in student curriculums. This book presents a variety of cases and observations on the competencies developed in the curriculums of universities around the world, with the aim to assure that graduates leave fully prepared to face the challenges of the new economy.

This book is a collection of selected papers presented at the Annual Meeting of the European Academy of Management and Business Economics (AEDEM), held at the Faculty of Economics and Business of the University of Barcelona, 05 - 07 June, 2012. This edition of the conference has been presented with the slogan "Creating new opportunities in an uncertain environment". There are different ways for assessing uncertainty in management but this book mainly focused on soft computing theories and their role in assessing uncertainty in a complex world. The present book gives a comprehensive overview of general management topics and discusses some of the most recent developments in all the areas of business and management including management, marketing, business statistics, innovation and technology, finance, sports and tourism. This book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.

This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2012, held in New Rochelle, NY, USA, in May/June 2012. The event was co-organized by the AMSE Association and Iona College. The 27 full papers in this book were carefully reviewed and selected from 78 submissions. In addition to these papers a summary of the plenary presentation given by Ronald R. Yager is also included. The book mainly focuses on the field of intelligent systems and its application to economics and business administration. Some papers have a stronger orientation towards modeling and simulation in these fields.

This book is a collection of selected papers presented at the Annual Meeting of the European Academy of Management and Business Economics (AEDEM), held at the Faculty of Economics and Business of the University of Barcelona, 05 - 07 June, 2012. This edition of the conference has been presented with the slogan "Creating new opportunities in an uncertain environment". There are different ways for assessing uncertainty in management but this book mainly focused on soft computing theories and their role in assessing uncertainty in a complex world. The present book gives a comprehensive overview of general management topics and discusses some of the most recent developments in all the areas of business and management including management, marketing, business statistics, innovation and technology, finance, sports and tourism. This book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.

This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on "Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021)," organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.

This book is a collection of selected papers presented at the Annual Meeting of the European Academy of Management and Business Economics (AEDEM), held at the Faculty of Economics and Business of the University of Barcelona, 05 07 June, 2012. This edition of the conference has been presented with the slogan Creating new opportunities in an uncertain environment . There are different ways for assessing uncertainty in management but this book mainly focused on soft computing theories and their role in assessing uncertainty in a complex world.

The present book gives a comprehensive overview of general management topics and discusses some of the most recent developments in all the areas of business and management including management, marketing, business statistics, innovation and technology, finance, sports and tourism. This book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields."

This volume explores the ways in which knowledge and innovation impact business and economic sustainability, offering a wide-ranging and richly illustrated study of knowledge, innovation and sustainability of organizations from a dynamic capabilities perspective. In organizational theory, dynamic capability is defined as an organization's ability to react and adapt adequately and rapidly to external change. In today's global economy, pursuing sustainable strategies and practices is critical to organizational success. Complying with externally and internally imposed sustainability targets might initially appear as a restriction for organizations; however, they can be transformed into a new set of opportunities. This means that the classic ways in which management absorbs the experiences associated with evolving conditions, organizational frameworks and markets must be reconsidered in light of the preservation of the technological, environmental and social ecosystems. Featuring research and case studies from sectors such as NGOs, SMEs, education and agriculture, this book offers students, academics, practitioners and policymakers a multi-faceted understanding of how and why knowledge, innovation and sustainability are intricately linked-and offers insight into best practices that balance organizational and societal needs.

This book is a collection of selected papers presented at the SIGEF conference, held at the Faculty of Economics and Business of the University of Girona (Spain), 06-08 July, 2015. This edition of the conference has been presented with the slogan "Scientific methods for the treatment of uncertainty in social sciences". There are different ways for dealing with uncertainty in management. The book focuses on soft computing theories and their role in assessing uncertainty in a complex world. It gives a comprehensive overview of quantitative management topics and discusses some of the most recent developments in all the areas of business and management in soft computing including Decision Making, Expert Systems and Forgotten Effects Theory, Forecasting Models, Fuzzy Logic and Fuzzy Sets, Modelling and Simulation Techniques, Neural Networks and Genetic Algorithms and Optimization and Control. The book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.

This book provides some of the most recent developments in Computational Intelligence applied to business and economics presented at the MS'10 International Conference, Barcelona, 15-17 July, 2010. It presents several new theoretical advancements and a wide range of applications in different business and economic areas including accounting, finance, management, marketing, sports, tourism, economics and politics, and also some applications related with engineering and modeling and simulation. This book is very useful for researchers and graduate students interested in pursuing research in business and economics with an orientation to modern techniques for dealing with uncertainty such as those related with modeling and simulation and computational intelligence.

This volume explores the ways in which knowledge and innovation impact business and economic sustainability, offering a wide-ranging and richly illustrated study of knowledge, innovation and sustainability of organizations from a dynamic capabilities perspective. In organizational theory, dynamic capability is defined as an organization's ability to react and adapt adequately and rapidly to external change. In today's global economy, pursuing sustainable strategies and practices is critical to organizational success. Complying with externally and internally imposed sustainability targets might initially appear as a restriction for organizations; however, they can be transformed into a new set of opportunities. This means that the classic ways in which management absorbs the experiences associated with evolving conditions, organizational frameworks and markets must be reconsidered in light of the preservation of the technological, environmental and social ecosystems. Featuring research and case studies from sectors such as NGOs, SMEs, education and agriculture, this book offers students, academics, practitioners and policymakers a multi-faceted understanding of how and why knowledge, innovation and sustainability are intricately linked-and offers insight into best practices that balance organizational and societal needs.