Fuzzy Optimization And Multi Criteria Deci Ion Making In Digital Marketing Pdf

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fuzzy optimization and multi criteria deci ion making in digital marketing pdf

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In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method. In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, 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. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses.

Applications of the concepts and techniques of statistical mechanics include: applications to physical and physiochemical systems such as solids, liquids and gases, interfaces, glasses, colloids, complex fluids, polymers, complex networks, applications to economic and social systems e. Citizen, business, and visitor information sections, plus city government information. First of all, sorry for my bad english. Basic applied statistics is assumed through multiple regression. Chapters4,5and6 deal with its analysis in the frequency domain and can be worked through in the second term.

Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing

Nombre requerido. Ozceylan, the most productive researchers in this field. Tzeng with 7 publications from National Taipei, attractiveness between two elements at a time, in order, to generate numerical scores for the options in each, fuzzy MACBETH method is applied to a real case, evaluate the renewable energy alternatives as, order to realize this aim, they comparatively use, MACBETH and AHP-based multicriteria methods for, which the values represent the strength of, wind farms. The goal of this project is to develop an online platform and related analytical capabilities. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Download PDF. The evaluation model is, the alternatives.

The decision-making process has become a challenge in modern organizations due to increased access to information and large data sets. When considering single-criteria problems, the decision making process is extremely intuitive. On the other hand, multi-criteria decision making, which involves several factors, requires further consideration and more sophisticated methods. Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment. Presenting timely research and case studies on practical implementation of such theories in the digital marketplace, this publication is designed for use by business professionals, executives, graduate-level students, and researchers. This research-focused publication features discussions on several key concepts useful for modern business professionals including decision-making models and fuzzy theory applied to internet marketing, consumer behavior, and the optimization of strategic marketing plans. Editors Kumar and Kumar Dash collect contributions from a wide variety of experts in the field of digital marketing on the application of fuzzy theory and multi-criteria decision making MCDM principles for best practices in digital business and marketing.

Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available. Conference proceedings. Papers Table of contents 28 papers About About these proceedings Table of contents Search within book. Front Matter Pages i-xiii.

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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Kumar and M. Kumar , M. Dash Published Business.

In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method. In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, 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. 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. Skip to main content Skip to table of contents.

Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available. Conference proceedings. It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence.

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Fuzzy Multi-Criteria Decision Making

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Fuzzy Multi-Criteria Decision Making

2 Comments

  1. Sipergreskiss 11.06.2021 at 02:23

    PDF | On Oct 6, , Anil Kumar and others published Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing | Find, read and cite all the.

  2. Paige M. 13.06.2021 at 10:29

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