Ergebnisse für: Decision Functions
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A model is an idealization. It is an abstract representation of a given perceived reality. To construct a model one abstracts from the unimportant features of that reality and replaces it by a formal structure, whose properties, explicitly assumed or logically de ducible from the stated assumptions,...
The Eleventh Prague Conference on Information Theory, Statistical Decision Functions and Random Processes was held at Prague, Czechoslovakia, August 26-31, 1990, continuing the tradition of (roughly) four-yearly conferences which began in 1957. These proceedings, which appear as two volumes, con...
A model is an idealization. It is an abstract representation of a given perceived reality. To construct a model one abstracts from the unimportant features of that reality and replaces it by a formal structure, whose properties, explicitly assumed or logically de ducible from the stated assumptions,...
A model is an idealization. It is an abstract representation of a given perceived reality. To construct a model one abstracts from the unimportant features of that reality and replaces it by a formal structure, whose properties, explicitly assumed or logically de ducible from the stated assumptions,...
The Prague Conferences on Information Theory, Statistical Decision Functions, and Random Processes have been organized every three years since 1956. During the eighteen years of their existence the Prague Conferences developed from a platform for presenting results obtained by a small group of resea...
The Prague Conferences on Information Theory, Statistical Decision Functions, and Random Processes have been organized every three years since 1956. During the eighteen years of their existence the Prague Conferences developed from a platform for presenting results obtained by a small group of resea...
The book provides a thorough treatment of set functions, games and capacities as well as integrals with respect to capacities and games, in a mathematical rigorous presentation and in view of application to decision making. After a short chapter introducing some required basic knowledge (linear prog...
The present book treats a highly specialized topic, namely effec tivity functions, which are a tool for describing the power structure implicit in social choice situations of various kind. One of the ad vantages of effectivity functions is that they seem to contain exactly the information which is n...
The book provides a thorough treatment of set functions, games and capacities as well as integrals with respect to capacities and games, in a mathematical rigorous presentation and in view of application to decision making. After a short chapter introducing some required basic knowledge (linear prog...
The book provides a thorough treatment of set functions, games and capacities as well as integrals with respect to capacities and games, in a mathematical rigorous presentation and in view of application to decision making. After a short chapter introducing some required basic knowledge (linear prog...
This book constitutes the conference proceedings of the 5th International Conference on Algorithmic Decision Theory , ADT 2017, held in Luxembourg, in October 2017.The 22 full papers presented together with 6 short papers, 4 keynote abstracts, and 6 Doctoral Consortium papers, were carefully selecte...
This book constitutes the conference proceedings of the 5th International Conference on Algorithmic Decision Theory , ADT 2017, held in Luxembourg, in October 2017.The 22 full papers presented together with 6 short papers, 4 keynote abstracts, and 6 Doctoral Consortium papers, were carefully selecte...
For several decades, scholars have developed methods for solving optimization problems which emerge in economics, econometrics, operations research, and other disciplines. A considerable effort has been made to construct equations from which constraints can be derived, but surprisingly little has be...