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Abstract: "This book applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment through the use of timely research and case studies on practical implementation of such theories in the digital marketplace"--Provided by publisher
Book Synopsis Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing by : Kumar, Anil
Download or read book Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing written by Kumar, Anil and published by IGI Global. This book was released on 2015-10-27 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This book applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment through the use of timely research and case studies on practical implementation of such theories in the digital marketplace"--Provided by publisher
Book Synopsis Fuzzy Multi-criteria Decision Making by : Ozerk Mehmet Gogus
Download or read book Fuzzy Multi-criteria Decision Making written by Ozerk Mehmet Gogus and published by . This book was released on 1997 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fuzzy Multiple Criteria Decision Making by : Ch Carlsson
Download or read book Fuzzy Multiple Criteria Decision Making written by Ch Carlsson and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.
Book Synopsis Multi-Criteria Decision Analysis in Management by : Behl, Abhishek
Download or read book Multi-Criteria Decision Analysis in Management written by Behl, Abhishek and published by IGI Global. This book was released on 2020-02-01 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.
This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested in multi-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.
Book Synopsis Pairwise Comparison Matrices and their Fuzzy Extension by : Jana Krejčí
Download or read book Pairwise Comparison Matrices and their Fuzzy Extension written by Jana Krejčí and published by Springer. This book was released on 2018-03-16 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested in multi-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.
The characteristic function of a crisp set assigns a value either 1 or 0 to each object in a set and thereby distinguishesthe members and non-members of crisp set under consideration. The function can be generalized such that the values assigned to the elements of a set fall within a specific range from 0 to 1 and indicate the membership grade of these elements in the set in question. Larger values denote higher degree of set membership. Such function is called a membership function, and the set defined by it is known as fuzzy set. In short, it can be opinedthat the crisp set and logic divide the world of yes or no, true or false but nothing in between. On the other hand, fuzzy sets and logic deal with objects that are of degree with all possible grades between yes or no.Thus, fuzzy set represents the vague or ill-defined (not well-defined) concept like good, very good, poor, intelligent, large, and medium large etc., and hence, it can be extensively applied in a wide range of area. Zadeh developed this novel concept of fuzzy sets that created a new branch of Mathematics which is used tocharacterize the uncertainty.A lot of significant developments have been made by the researchers in the last five decades and applied it in a large variety of fields. It is observed that in fuzzy set theory (FST) the non-membership function is the complement of the membership function. But in many situations, complement of membership function may not reflect the exact non-membership grades of an element to a set. Later, Atanassov defined both the membership function and nonmembership function which also characterized some hesitation degree between them. This newly defined set is called Intuitionistic fuzzy set (IFS). As IFS can represents the incomplete/ ill-defined information in a more specific manner than FST, therefore, IFS become more popular among the researchers in uncertainty modeling problems. Furthermore, Atanassov and Gargov introduced the notion of Interval-valued intuitionistic fuzzy sets (IVIFSs) extending the concept IFS, in which, the membership and non-membership grades are represented by intervals. Starting from our many daily life situations up to very complex system; making decision is undoubtedly one of the most necessary activities of human being. It is a logical judgment process to identifying and choosing the right alternatives based on the preferences and values of the decision maker with respect to its criteria. In mathematical point of view, there should be some methodology and algorithm through which one can make a logical and proper decision. Recently, decision making processes have become popular in industries, in different managerial level of the concerned department of many organizations because of their global competitiveness, making good planning and to survive successfully in respective marketplace. Therefore, decision making plays a vital role especially in purchase department for reducing material costs, minimizing production time as well as improving the quality of product or service.
Book Synopsis Multi Criteria Decision Making Via Intuitionistic Fuzzy Set by : Pranjal Talukdar
Download or read book Multi Criteria Decision Making Via Intuitionistic Fuzzy Set written by Pranjal Talukdar and published by . This book was released on 2023-01-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The characteristic function of a crisp set assigns a value either 1 or 0 to each object in a set and thereby distinguishesthe members and non-members of crisp set under consideration. The function can be generalized such that the values assigned to the elements of a set fall within a specific range from 0 to 1 and indicate the membership grade of these elements in the set in question. Larger values denote higher degree of set membership. Such function is called a membership function, and the set defined by it is known as fuzzy set. In short, it can be opinedthat the crisp set and logic divide the world of yes or no, true or false but nothing in between. On the other hand, fuzzy sets and logic deal with objects that are of degree with all possible grades between yes or no.Thus, fuzzy set represents the vague or ill-defined (not well-defined) concept like good, very good, poor, intelligent, large, and medium large etc., and hence, it can be extensively applied in a wide range of area. Zadeh developed this novel concept of fuzzy sets that created a new branch of Mathematics which is used tocharacterize the uncertainty.A lot of significant developments have been made by the researchers in the last five decades and applied it in a large variety of fields. It is observed that in fuzzy set theory (FST) the non-membership function is the complement of the membership function. But in many situations, complement of membership function may not reflect the exact non-membership grades of an element to a set. Later, Atanassov defined both the membership function and nonmembership function which also characterized some hesitation degree between them. This newly defined set is called Intuitionistic fuzzy set (IFS). As IFS can represents the incomplete/ ill-defined information in a more specific manner than FST, therefore, IFS become more popular among the researchers in uncertainty modeling problems. Furthermore, Atanassov and Gargov introduced the notion of Interval-valued intuitionistic fuzzy sets (IVIFSs) extending the concept IFS, in which, the membership and non-membership grades are represented by intervals. Starting from our many daily life situations up to very complex system; making decision is undoubtedly one of the most necessary activities of human being. It is a logical judgment process to identifying and choosing the right alternatives based on the preferences and values of the decision maker with respect to its criteria. In mathematical point of view, there should be some methodology and algorithm through which one can make a logical and proper decision. Recently, decision making processes have become popular in industries, in different managerial level of the concerned department of many organizations because of their global competitiveness, making good planning and to survive successfully in respective marketplace. Therefore, decision making plays a vital role especially in purchase department for reducing material costs, minimizing production time as well as improving the quality of product or service.
This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2020), held at ISCTE - University Institute of Lisbon, in the city of Lisbon in Portugal, between 8 and 10 October 2020. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
Book Synopsis Marketing and Smart Technologies by : Álvaro Rocha
Download or read book Marketing and Smart Technologies written by Álvaro Rocha and published by Springer Nature. This book was released on 2021-03-09 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2020), held at ISCTE - University Institute of Lisbon, in the city of Lisbon in Portugal, between 8 and 10 October 2020. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
As its title implies, Advances in Multicriteria Analysis presents the most recent developments in multicriteria analysis and in some of its principal areas of application, including marketing, research and development evaluation, financial planning, and medicine. Special attention is paid to the interaction between multicriteria analysis, decision support systems and preference modeling. The five sections of the book cover: methodology; problem structuring; utility assessment; multi-objective optimisation; real world applications. Audience: Researchers and professionals who are operations researchers, management scientists, computer scientists, statisticians, decision analysts, marketing managers and financial analysts.
Book Synopsis Advances in Multicriteria Analysis by : Panos M. Pardalos
Download or read book Advances in Multicriteria Analysis written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: As its title implies, Advances in Multicriteria Analysis presents the most recent developments in multicriteria analysis and in some of its principal areas of application, including marketing, research and development evaluation, financial planning, and medicine. Special attention is paid to the interaction between multicriteria analysis, decision support systems and preference modeling. The five sections of the book cover: methodology; problem structuring; utility assessment; multi-objective optimisation; real world applications. Audience: Researchers and professionals who are operations researchers, management scientists, computer scientists, statisticians, decision analysts, marketing managers and financial analysts.
Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteria analysis, including multicriteria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incomplete information, are also discussed, together with applications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including among others data mining, artificial intelligence, and evolutionary methods.
Book Synopsis Handbook of Multicriteria Analysis by : Constantin Zopounidis
Download or read book Handbook of Multicriteria Analysis written by Constantin Zopounidis and published by Springer Science & Business Media. This book was released on 2010-05-25 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteria analysis, including multicriteria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incomplete information, are also discussed, together with applications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including among others data mining, artificial intelligence, and evolutionary methods.
This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.
Book Synopsis Fuzzy Multi-Criteria Decision Making by : Cengiz Kahraman
Download or read book Fuzzy Multi-Criteria Decision Making written by Cengiz Kahraman and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.
