Essentials Of Fuzzy Soft Multisets
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Essentials of Fuzzy Soft Multisets
This book discusses major theories and applications of fuzzy soft multisets and their generalization which help researchers get all the related information at one place. The primary objective of this book is to help bridge the gap to provide a textbook on the theories in fuzzy soft multisets and their applications in real life. It is targeted to researchers and students working in the field of fuzzy set theory, multiset theory, soft set theory and their applications. Uncertainty, vagueness and the representation of imperfect knowledge have been a problem in many fields of research, including artificial intelligence, network and communication, signal processing, machine learning, computer science, information technology, as well as medical science, economics, environments and engineering. There are many mathematical tools for dealing with uncertainties. They include fuzzy set theory, multiset theory, soft set theory and soft multiset theory.
Co-Branding Strategies for Smart Luxury Products
Co-branding is a marketing strategy that brings together two brands to harness their strengths and create a product with greater value. The importance of innovation, exclusivity, and brand reputation is especially significant in industries like luxury smart consumer products. In multicultural markets, it refers to a strategic alliance between a luxury brand and a technology brand, designed to appeal to a range of cultural preferences, values, and consumption patterns. Companies can now deliver innovative products while maintaining exclusivity thanks to the fusion of luxury and technology in their branding strategies. By using this approach, the product can resonate with global audiences while still maintaining the exclusivity and prestige associated with luxury. Co-Branding Strategies for Smart Luxury Products examines the use of co-branding strategies, the advancement of smart consumer products, and the convergence of luxury branding and technology in marketing. It discusses how co-branding can be used in marketing to personalize content, enhance targeting, and optimize campaigns. Covering topics such as consumer loyalty, sustainable business initiatives, and internet freedom, this book is an excellent resource for consultants, business owners, marketing practitioners, policymakers, researchers, academicians, and more.
Soft Computing in Information Retrieval
Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. able to "learn" the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.