Logo

Special Fuzzy Matrices for Social Scientists

Small book cover: Special Fuzzy Matrices for Social Scientists

Special Fuzzy Matrices for Social Scientists
by

Publisher: InfoLearnQuest
ISBN/ASIN: 1599730308
ISBN-13: 9781599730301
Number of pages: 302

Description:
This book introduces special classes of Fuzzy and Neutrosophic Matrices. These special classes of matrices are used in the construction of multi-expert special fuzzy models using FCM, FRM and FRE and their Neutrosophic analogues (simultaneous or otherwise according to ones need).

Download or read it online for free here:
Download link
(2MB, PDF)

Similar books

Book cover: Lectures On Approximation By PolynomialsLectures On Approximation By Polynomials
by - Tata Institute of Fundamental Research
From the table of contents: Weierstrass's Theorem; The Polynomial of Best Approximation Chebyshev Polynomials; Approximations to abs(x); Trigonometric Polynomials; Inequalities, etc; Approximation in Terms of Differences.
(11373 views)
Book cover: Math AliveMath Alive
by - Princeton University
Designed for those who haven't had college mathematics but would like to understand some applications: Cryptography; Error correction and compression; Probability and Statistics; Birth, Growth, Death and Chaos; Graph Theory; Voting and Social Choice.
(12816 views)
Book cover: Street-Fighting MathematicsStreet-Fighting Mathematics
by - The MIT Press
The book about the art of guessing results and solving problems without doing a proof or an exact calculation. Techniques include extreme-cases reasoning, dimensional analysis, successive approximation, discretization, generalization, etc.
(21275 views)
Book cover: Elementary Fuzzy Matrix Theory and Fuzzy Models for Social ScientistsElementary Fuzzy Matrix Theory and Fuzzy Models for Social Scientists
by - arXiv
This book aims to assist social scientists to analyze their problems using fuzzy models. The basic and essential fuzzy matrix theory is given. The authors have only tried to give those essential basically needed to develop the fuzzy model.
(15020 views)