This paper proposes a strict constructing approach for a reasonable membership function as objectively as possible. It is important to set a reasonable membership function to parameters for real-world decision making ...
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(纸本)9781509026784
This paper proposes a strict constructing approach for a reasonable membership function as objectively as possible. It is important to set a reasonable membership function to parameters for real-world decision making interactively and objectively. The main contribution of our proposed approach is to integrate a general continuous function derived from mathematical programming under a given probability density function based on real-world data into subjective interval estimation by a heuristic method. The interval estimation is to set intervals that a decision maker confidently judges whether an element is completely or never included in the given set. The main steps of our proposed approach are to solve the mathematical programming problem in terms of objectivity. It is hard to solve the problem with nonlinear function directly and efficiently. In this paper, the given nonlinear membership function is approximately transformed into a piecewise linear membership function, and the appropriate membership values are determined based on the strict optimal solution.
Aho and Corasick presented a string pattern matching machine to locate multiple keywords. However, the AC machine could not match multi-attribute information. This paper describes an efficient multi-attribute pattern ...
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Aho and Corasick presented a string pattern matching machine to locate multiple keywords. However, the AC machine could not match multi-attribute information. This paper describes an efficient multi-attribute pattern matching machine to locate all occurrences of any of a finite number of the sequence of rule structures (called matching rules) in a sequence of input structures. The proposed algorithm enables us to match set representations containing multiple attributes. Therefore, confirming transition is decided by the relationship, whether the input structure includes the rule structure or not. Finally, the pattern matching algorithm is evaluated by theoretical analysis and the evaluation is supported by the simulation results with rules for the extraction of keywords. (C) 1998 Elsevier Science Inc. All rights reserved.
The problem of optimal control of linear nonstationary system subjected to disturbances, multiple uncertainties at the initial state and measurement errors of output signals is investigated. The general scheme of cons...
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The problem of optimal control of linear nonstationary system subjected to disturbances, multiple uncertainties at the initial state and measurement errors of output signals is investigated. The general scheme of constructing in a real-time of optimal robust feedbacks with respect to output, which takes into account the possibility of closing the system and subsequent correcting control in the future time moments (the optimal closed-loop feedback), is proposed.
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