Intuitionistic Set Theory

Intuitionistic Set Theory (Studies in Logic)  eBooks & eLearning

Posted by happy4all at Oct. 22, 2016
Intuitionistic Set Theory (Studies in Logic)

Intuitionistic Set Theory (Studies in Logic) By John L. Bell
2014 | 132 Pages | ISBN: 1848901402 | PDF | 10 MB

Treatise on Intuitionistic Type Theory  eBooks & eLearning

Posted by ChrisRedfield at Nov. 20, 2015
Treatise on Intuitionistic Type Theory

Johan Georg Granström - Treatise on Intuitionistic Type Theory
Published: 2011-06-09 | ISBN: 9400717350, 9400736398 | PDF | 198 pages | 3.65 MB

Computational Logic and Set Theory: Applying Formalized Logic to Analysis  eBooks & eLearning

Posted by hill0 at Sept. 5, 2017
Computational Logic and Set Theory: Applying Formalized Logic to Analysis

Computational Logic and Set Theory: Applying Formalized Logic to Analysis by Jacob T. Schwartz
English | 16 July 2011 | ISBN: 0857298070 | 436 Pages | PDF | 2.4 MB

This must-read text presents the pioneering work of the late Professor Jacob (Jack) T. Schwartz on computational logic and set theory and its application to proof verification techniques, culminating in the ÆtnaNova system, a prototype computer program designed to verify the correctness of mathematical proofs presented in the language of set theory.

Notes on Logic and Set Theory  eBooks & eLearning

Posted by arundhati at Sept. 5, 2017
Notes on Logic and Set Theory

P. T. Johnstone, "Notes on Logic and Set Theory"
1987 | ISBN-10: 0521336929, 0521335027 | 128 pages | PDF | 4 MB

Handbook of Set Theory (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 14, 2017
Handbook of Set Theory (Repost)

Handbook of Set Theory By Matthew Foreman, Akihiro Kanamori
English | PDF | 2010 | 2200 Pages | ISBN : 1402048432 | 19.42 MB

This handbook is the definitive compendium of the methods, results, and current initiatives in modern set theory in all its research directions. Set theory has entered its prime as an advanced and autonomous field of mathematics with foundational significance, and the expanse and variety of this handbook attests to the richness and sophistication of the subject.

Naive Set Theory  eBooks & eLearning

Posted by ChrisRedfield at Aug. 4, 2017
Naive Set Theory

P. R. Halmos - Naive Set Theory
Published: 1974-01-12 | ISBN: 0387901043 | PDF | 104 pages | 5.1 MB

Set Theory: A First Course  eBooks & eLearning

Posted by ksveta6 at Aug. 3, 2017
Set Theory: A First Course

Set Theory: A First Course (Cambridge Mathematical Textbooks) by Daniel W. Cunningham
2016 | ISBN: 1107120322 | English | 262 pages | EPUB | 56 MB

Rough Set Theory: A True Landmark in Data Analysis (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
Rough Set Theory: A True Landmark in Data Analysis (Repost)

Rough Set Theory: A True Landmark in Data Analysis By Ajith Abraham, Rafael Falcón, Rafael Bello
English | PDF | 2009 | 330 Pages | ISBN : 3540899200 | 6.8 MB

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms.

A Course on Set Theory (repost)  eBooks & eLearning

Posted by roxul at July 21, 2017
A Course on Set Theory (repost)

Ernest Schimmerling, "A Course on Set Theory"
English | ISBN: 1107400481, 1107008174 | 2011 | 178 pages | PDF | 0.6 MB

Axiomatic Fuzzy Set Theory and Its Applications  eBooks & eLearning

Posted by AvaxGenius at July 17, 2017
Axiomatic Fuzzy Set Theory and Its Applications

Axiomatic Fuzzy Set Theory and Its Applications By Xiaodong Liu, Witold Pedrycz
English | PDF | 2009 | 522 Pages | ISBN : 3642004016 | 8 MB

In the age of Machine Intelligence and computerized decision making, we have to deal with subjective imprecision inherently associated with human perception and described in natural language and uncertainty captured in the form of randomness.