Set Linear Algebra and Set Fuzzy Linear Algebra

dc.creatorKandasamy, W. B. Vasantha
dc.creatorSmarandache, Florentin
dc.creatorIlanthenral, K.
dc.date2008-06-17
dc.date.accessioned2026-07-07T09:45:06Z
dc.date.available2026-07-07T09:45:06Z
dc.descriptionIn 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 spaces. The fuzzy analogue of these concepts are given in Chapter three. In Chapter four, set vector spaces are generalized to biset bivector spaces and not set vector spaces. This is done taking into account the advanced information technology age in which we live. As mathematicians, we have to realize that our computer-dominated world needs special types of sets and algebraic structures. Set n-vector spaces and their generalizations are carried out in Chapter five. Fuzzy n-set vector spaces are introduced in the sixth chapter. The seventh chapter suggests more than three hundred problems.
dc.description344 pages
dc.identifierhttps://arxiv.org/abs/0806.2847
dc.identifierhttp://arxiv.org/abs/0806.2847
dc.identifierPublished by InfoLearnQuest, Ann Arbor, United States in 2008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/163092
dc.subjectGeneral Mathematics
dc.subject04-xx, 11-xx
dc.titleSet Linear Algebra and Set Fuzzy Linear Algebra
dc.typetext

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