Modal intervals: reason and ground semantics
Proceedings of the International Symposium on interval mathematics on Interval mathematics 1985
The fuzzy mathematics of finance
Fuzzy Sets and Systems
Towards a general setting for the fuzzy mathematics of finance
Fuzzy Sets and Systems
Solving linear and quadratic fuzzy equations
Fuzzy Sets and Systems
Solving systems of linear fuzzy equations
Fuzzy Sets and Systems
Solving fuzzy equations in economics and finance
Fuzzy Sets and Systems
Solving fuzzy equations using neural nets
Fuzzy Sets and Systems
Neural net solutions to fuzzy problems: the quadratic equation
Fuzzy Sets and Systems
Interval finite element method for beam structures
Finite Elements in Analysis and Design
A Generalized Interval Arithmetic
Proceedings of the International Symposium on Interval Mathemantics
On the computation of solutions of systems of interval polynomial equations
Journal of Computational and Applied Mathematics
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
Partition search for non-binary constraint satisfaction
Information Sciences: an International Journal
The extension principle and a decomposition of fuzzy sets
Information Sciences: an International Journal
Infinite fuzzy relation equations with continuous t-norms
Information Sciences: an International Journal
Fuzzy linear systems of the form A1x+b1=A2x+b2
Fuzzy Sets and Systems
Communicating sequential processes for distributed constraint satisfaction
Information Sciences: an International Journal
Fuzzy solution of interval linear equations
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
A generalization of Hukuhara difference and division for interval and fuzzy arithmetic
Fuzzy Sets and Systems
The normalization of the Dempster's rule of combination
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Fuzzy solution of interval nonlinear equations
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
Solving systems of interval linear equations with use of modified interval division procedure
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
A new method for normalization of interval weights
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
On fuzzifications of discrete dynamical systems
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A new approach to normalization of interval and fuzzy weights
Fuzzy Sets and Systems
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
Expert Systems with Applications: An International Journal
Fuzzy system of linear equations with crisp coefficients
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A new approach to the solution of interval and fuzzy equations based on the generalized procedure of interval extension called ''interval extended zero'' method is proposed. The central for the proposed approach is the treatment of the interval zero as an interval centered around zero. It is shown that such proposition is not of heuristic nature, but is the direct consequence of the interval subtraction operation. Some methodological problems concerned with this definition of interval zero are discussed. It is shown that the resulting solution of interval linear equations based on the proposed method may be naturally treated as a fuzzy number. An important advantage of a new method is that it substantially decreases the excess width effect. On the other hand, we show that it can be used as a reliable practical tool for solving linear interval and fuzzy equations as well as the systems of them. The features of the method are illustrated by the example of the solution of the well known Leontief input-output problem in the interval setting.