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.

� propos de l?auteur:

Anil Kumar, ABV-Indian Institute of Information Technology & Management, India.

Manoj Kumar Dash, ABV-Indian Institute of Information Technology & Management, India.

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Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing

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