7 products were found matching your search for Management of the Fuzzy in 1 shops:

This is one of the most complete and up-to-date compilations of articles in fuzzy logic research. The so-called ``fuzzy systems'' are mathematically based systems which enable computers to handle ambiguous or contradictory information.

This book provides an introduction to fuzzy logic and surveys emergingresearch trends and the application of state-of-the-art fuzzy hybridcomputing techniques in the field of construction engineering andmanagement. Authors cover the theory and implementation of fuzzyhybrid computing methodologies for arithmetic, optimization, machinelearning, multi-criteria decision-making, simulation, cognitive maps and datamodelling. The practical application of these techniques to solve real-worldproblems across a wide range of construction engineering and managementissues is also demonstrated and discussed. The completion of effectively planned, executed and controlled constructionprojects is dependent on numerous interacting factors and human activities,both of which introduce vagueness and subjective uncertainty into alreadycomplex processes. While expert knowledge is an essential component ofeffective decision-making, analysis and consideration of expert knowledgeexpressed in linguistic terms remains a challenging aspect of constructionengineering and management. Fuzzy logic, which has applications in many disciplines, has the potentialto address certain challenges inherent in construction engineering andmanagement, in part because of its strengths in modelling human reasoning,dealing with subjective uncertainty and computing with linguistic terms.However, fuzzy logic alone has a number of limitations that can only beovercome by its integration with other, complementary methodologies,together leading to advanced and powerful fuzzy hybrid computingtechniques. This book is of particular interest to students, researchers and practitionerswho want to learn about the latest developments in fuzzy hybrid computingin construction engineering and management.

This book provides an introduction to fuzzy logic and surveys emergingresearch trends and the application of state-of-the-art fuzzy hybridcomputing techniques in the field of construction engineering andmanagement. Authors cover the theory and implementation of fuzzyhybrid computing methodologies for arithmetic, optimization, machinelearning, multi-criteria decision-making, simulation, cognitive maps and datamodelling. The practical application of these techniques to solve real-worldproblems across a wide range of construction engineering and managementissues is also demonstrated and discussed. The completion of effectively planned, executed and controlled constructionprojects is dependent on numerous interacting factors and human activities,both of which introduce vagueness and subjective uncertainty into alreadycomplex processes. While expert knowledge is an essential component ofeffective decision-making, analysis and consideration of expert knowledgeexpressed in linguistic terms remains a challenging aspect of constructionengineering and management. Fuzzy logic, which has applications in many disciplines, has the potentialto address certain challenges inherent in construction engineering andmanagement, in part because of its strengths in modelling human reasoning,dealing with subjective uncertainty and computing with linguistic terms.However, fuzzy logic alone has a number of limitations that can only beovercome by its integration with other, complementary methodologies,together leading to advanced and powerful fuzzy hybrid computingtechniques. This book is of particular interest to students, researchers and practitionerswho want to learn about the latest developments in fuzzy hybrid computingin construction engineering and management.

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you’ll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems. You don’t need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systemsHelps you to understand the trade-offs implicit in various models and model architecturesProvides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule inductionLays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final modelIn an extended example, applies evolutionary programming techniques to solve a complicated scheduling problemPresents examples in C, C++, Java, and easy-to-understand pseudo-codeExtensive online component, including sample code and a complete data mining workbench

Here it is: no warm n fuzzies, no academic theories just hard-core strategies from real world trenches the long-overdue management book no one but Dan Kennedy would dare to write. This is your permission slip to take back control of your business, enforce standards, manage for maximum profit and actually get performance from your people! Kennedy covers: The true nature of employer-employee relationships: friendly while you feed them (Why ownership mentality is a futile and dangerous goal) The two most crucial (and liberating) management decisions The worst number in business is (fix this before it’s too late!) Leadership is vastly overrated: a new, rational model for profitable productivity Why and how to make marketing the master all others servants Mice at play, and how to get compliance when the cat’s away Finding the magic GE-Spot” for your particular business’ greatest success with its customers Fairness be damned to the winners the spoils (it’s time to start paying for performance, not for showing up) Is a happy workplace a productive workplace? a serious look at the new, fun mandate lies the management theorists sell Managing the sales process the biggest instant improvement (more $ now!)

A hands-on program for restoring thyroid, adrenal, and reproductive balance identifies a link between hormone-related metabolic problems and a range of diseases and disorders, outlining a program for weight loss, bolstering energy, and stress management. By the authors of Thyroid Power.

Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and others. Theoretical advances, too, have been made in many directions, and a gap has arisen between advanced theoretical topics and applications, which often use the theory at a rather elementary level. The primary goal of this book is to close this gap - to provide a textbook for courses in fuzzy set theory and a book that can be used as an introduction. This revised book updates the research agenda, with the chapters of possibility theory, fuzzy logic and approximate reasoning, expert systems and control, decision making and fuzzy set models in operations research being restructured and rewritten. Exercises have been added to almost all chapters and a teacher's manual is available upon request.