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Partial Orders For Uncertainty, Causality, And Decision Making


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description

One of the main objectives of science and engineering is to help people select the most beneficial decisions. To make these decisions, we must know people's preferences, and we must have information about different possible consequences of the decisions. Since information is never absolutely accurate and precise, we must also have information about the degree of certainty of every piece of information. All these types of information naturally lead to partial orders: for preferences, a b means that b is preferable to a. This relation is used in decision theory. For events, a b means that a can influence b. This causality relation is one of the fundamental notions of physics, especially of physics of space-time. For uncertain statements, a b means that a is less certain than b. This relation is used in logics describing uncertainty, such as fuzzy logic. This research has revealed that some ideas are common in all three applications of partial orders. In this book, we analyze general properties, operations, and algorithms related to partial orders for representing uncertainty, causality, and decision making, with a special emphasis on uncertainty.

Product Specifications
SKU :COC60072
AuthorFrancisco Zapata
Number of Pages236
Publishing Year24.01.2014
Edition1 st
Book TypeMathematics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-08-05 00:00:00
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