Modal intervals: reason and ground semantics
Proceedings of the International Symposium on interval mathematics on Interval mathematics 1985
Solving linear and quadratic fuzzy equations
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
A new method for solving interval and fuzzy equations: Linear case
Information Sciences: an International Journal
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
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
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A new concept of interval and fuzzy equations solving based on the generalized procedure of interval extension called "interval extended zero" method is proposed. The central for this approach is the treatment of "interval zero" as an interval centered around 0. It is shown that such proposition is not of heuristic nature, but is a direct consequence of interval subtraction operation. It is shown that the resulting solution of interval linear equations based on the elaborated method may be naturally treated as a fuzzy number. An important advantage of new method is that it substantially decreases the excess width effect.