Fuzzy Sets and Systems
Representation and application of fuzzy numbers
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
A Formalization of Interval-Based Temporal Subsumption in First Order Logic
Foundation of Knowledge Representation and Reasoning [the book grew out of an ECAI-92 workshop]
Fuzzy modeling of manufacturing and logistic systems
Mathematics and Computers in Simulation
Two-objective method for crisp and fuzzy interval comparison in optimization
Computers and Operations Research
Information Sciences: an International Journal
Mathematics and Computers in Simulation
Two-objective method for crisp and fuzzy interval comparison in optimization
Computers and Operations Research
Towards efficient prediction of decisions under interval uncertainty
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Decision Trees with Single and Multiple Interval-Valued Objectives
Decision Analysis
An approach to generalization of fuzzy TOPSIS method
Information Sciences: an International Journal
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A probabilistic approach to the comparison of two intervals is developed. The method is based on the assumption that random variables are independently and uniformly distributed at given intervals. It allows all possible cases of interval location and intersection and of ordering of interval and real number to be taken into account. Additionally, this method allows the widths of the intervals to be taken into account in the ordering procedure. It should be noted that the probabilistic approach was used only to infer the set of formulae needed to estimate quantitatively the degree to which one interval is less or equal to another interval. The measure of such a degree may be treated formally as one of probability, but the term "possibility" can be also used, as it better reflects the sense of the relation between the intervals in many cases.