Semiology of Graphics: Diagrams Networks Maps.

The main advances regarding the use of the Choquet and Sugeno integrals in multi-criteria decision aid over the last decade are reviewed. They concern mainly a bipolar extension of both the Choquet integral and the Sugeno integral, interesting particular submodels, new learning techniques, a better interpretation of the models and a better use of the Choquet integral in multi-criteria decision aid. Parallel to these theoretical works, the Choquet integral has been applied to many new fields, and several softwares and libraries dedicated to this model have been developed.

A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid

Games and Decisions: Introduction and Critical Survey.

Statistical models in engineering , Statistical models in engineering , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی

Statistical Models in Engineering

Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism

The arithmetic of discrete Z-numbers

The arithmetic of continuous Z-numbers

Fuzzy logic-based generalized decision theory with imperfect information

Real-world information is imperfect and is usually described in natural language (NL). Moreover, this information is often partially reliable and a degree of reliability is also expressed in NL. In view of this, the concept of a Z-number is a more adequate concept for the description of real-world information. The main critical problem that naturally arises in processing Z-numbers-based information is the computation with Z-numbers. Nowadays, there is no arithmetic of Z-numbers suggested in existing literature. This book is the first to present a comprehensive and self-contained theory of Z-arithmetic and its applications. Many of the concepts and techniques described in the book, with carefully worked-out examples, are original and appear in the literature for the first time.The book will be helpful for professionals, academics, managers and graduate students in fuzzy logic, decision sciences, artificial intelligence, mathematical economics, and computational economics. Readership: Researchers, academics, professionals and graduate students in fuzzy logic, decision sciences and artificial intelligence.

The Arithmetic of Z-Numbers: Theory and Applications

Approximate reasoning is about reasoning with imperfect information. Nowadays, a large diversity of approaches to approximate reasoning with fuzzy information and fuzzy type-2 information exists. It should be stressed, however, that real-world imperfect information is characterized by combination of fuzzy and probabilistic uncertainties, which is referred to as bimodal information. In view of this, Zadeh introduced the concept of a Z -number regarded as an ordered pair Z = ( A , B ) of fuzzy numbers A and B , where A is a linguistic value of a variable of interest, and B is a linguistic value of probability measure of A , playing a role of its reliability. Unfortunately, up to day, there is no research on approximate reasoning realized on the basis of if–then rules with Z -number-valued antecedents and consequents, briefly, Z- rules. Zadeh addressed this problem as related to an uncharted territory. In this paper, a new approach is developed to study approximate reasoning with Z- rules on a basis of linear interpolation. We provide an application of the approach to job satisfaction evaluation and to students’ educational achievement evaluation problems related to psychological and perceptual issues naturally characterized by imperfect information. The obtained results show applicability and validity of the proposed approach.

Oleg H. Huseynov

Papers

The arithmetic of discrete Z-numbers

The arithmetic of continuous Z-numbers

Fuzzy logic-based generalized decision theory with imperfect information

The Arithmetic of Z-Numbers: Theory and Applications

Approximate Reasoning on a Basis of Z -Number-Valued If–Then Rules