Standardizology: Science Theory of Standardization-Cognition and Basic Theory

This book is a firstly developed (originally created) academic works on the science theory of standardization in the world, which systematically create the important theories and methods of standardization, including the scientific and philosophical cognition of standardization, standardization rational concept, axioms, morphology pedigrees, core principles, laws, standardization entropy, similarity standardization, standard equations, theories and design methods of universalization (or generalization), serialization, modularization, combinatorization, product model spectrum and family, product variety governance, synergy interoperability, product top-level design, product optimization, standardization index system, standardization system engineering, project standard management and control, parts management, standardization application status assessment, standardization benefit assessment, etc. Standardizology is a unification learning (academic knowledge) and methodology. Standardizology is mainly used to solve two important problems: The first is to establish the basic theories or meta theories of standardization rational concepts, axioms, morphology pedigree, principles, laws, etc., to provide theoretical basis for the interpretation, deduction, and inference of standardization laws and to solve the needs of basic theories of standardization discipline; the second is to establish a generic design method with standardization attributes, provide optimal design methods for product development, engineering construction, social governance, etc., and solve the problem for the demand of effective generic methods. The coming era of artificial intelligence requires even more supports from standardization. The operation of AI large language models highly relies on language standardization, semantic standardization, grammar standardization, code standardization, algorithm primitive standardization, interface standardization, etc., to ensure the smooth information exchange and operation efficiency. Moreover, the wide application of artificial intelligence requires the support of a large number of standardization elements or unification elements