| Description |
1 online resource |
| Series |
Studies in computational intelligence, 1860-949X ; 463 |
|
Studies in computational intelligence ; 463.
|
| Contents |
Applications -- Fuzzy Set Theory -- Evidence Theory -- The Problems -- Issues in International Relations -- Issues in Comparative Politics -- Issues of Hearing Impairment -- Applications -- The Analytic Hierarchy Process -- The Guiasu Method -- Jeffrey's Rule -- Yen's Method -- Methods Based on Fuzzy Set Theory -- Set-Valued Statistical Methods -- Intuitionistic Fuzzy Sets and Political Stability -- Analysis of Results -- Quality of Life -- Failed States -- Additional Results |
| Summary |
The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable. In this book, we examine cases where the number of data points issmall (effects of nuclear warfare), where the experiment is not repeatable (the breakup of the former Soviet Union), and where the data is derived from expert opinion (how conservative is a political party). In all these cases the data is difficult to measure and an assumption of randomness and/or statistical validity is questionable. We apply our methods to real world issues in international relations such as nuclear deterrence, smart power, and cooperative threat reduction. We next apply our methods to issues in comparative politics such as successful democratization, quality of life, economic freedom, political stability, and failed states. Finally, issues involving deaf and hard of hearing children are explored |
| Analysis |
Engineering |
|
Computational Intelligence |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
| Subject |
Fuzzy sets.
|
|
Uncertainty (Information theory) -- Mathematical models
|
|
Linear models (Statistics)
|
|
Ingénierie.
|
|
Fuzzy sets
|
|
Linear models (Statistics)
|
|
Uncertainty (Information theory) -- Mathematical models
|
| Form |
Electronic book
|
| Author |
Mordeson, John N.
|
| ISBN |
9783642352249 |
|
3642352243 |
|
3642352235 |
|
9783642352232 |
|
