Set Linear Algebra and Set Fuzzy Linear Algebra
W.B.Vasantha Kandasamy, Florentin Smarandache, K. Ilanthenral

TL;DR
This book introduces and explores set linear algebra and fuzzy set linear algebra, generalizing classical concepts to accommodate minimal algebraic operations and computer-age applications.
Contribution
It defines the novel concept of set vector spaces and their fuzzy counterparts, extending linear algebra to more generalized and computationally relevant structures.
Findings
Introduction of set vector spaces as a highly generalized form of vector spaces
Development of fuzzy analogues of set linear algebra concepts
Provision of over three hundred problems for further exploration
Abstract
In this book, the authors define the new notion of set vector spaces which is the most generalized form of vector spaces. Set vector spaces make use of the least number of algebraic operations, therefore, even a non-mathematician is comfortable working with it. It is with the passage of time, that we can think of set linear algebras as a paradigm shift from linear algebras. Here, the authors have also given the fuzzy parallels of these new classes of set linear algebras. This book is divided into seven chapters. The first chapter briefly recalls some of the basic concepts in order to make this book self-contained. Chapter two introduces the notion of set vector spaces which is the most generalized concept of vector spaces. Set vector spaces lends itself to define new classes of vector spaces like semigroup vector spaces and group vector spaces. These are also generalization of vector…
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Taxonomy
TopicsMulti-Criteria Decision Making
