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Multi-agent systems are an efficient approach for problem solving and decision making.
Case-based reasoning (CBR) is an innovative approach for problem solving.
It also recommends the systems approach for problem mapping and suggests possible recommendations for sustainable planning.
Therefore, Problem V is the optimized SPDMFE extrapolation model with very few degrees of freedom based on POD approach for Problem I.
Therefore, we present a new approach for problem solving using decision tree induction based on intuitionistic fuzzy sets in this paper.
TRIZ offers a systematic approach for problem solving, still it requires creativity abilities when translating the recommendations offered by inventive principles and standard inventive solutions into the specific domain of the problem.
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Fuzzy logic is an ideal approach for problem-solving tasks, as it is specifically designed to manage problems with a high degree of uncertainty.
In this context, the Theory of Inventive Problem Solving (TRIZ) offers several advantages: it is a knowledge-based approach for problem-solving that links the problem requirements with some engineering models to guide the solving process.
The proposed procedure can replace the popular weighted-sum approach for problems with multiple objectives.
There are two major approaches for problem solving: (1) basis pursuit (BP) approach and (2) greedy approach.
The findings of this review also underscore the need to develop individually tailored case formulations, treatment plans, treatment objectives and individualised intervention approaches for problem gamblers with co-morbid psychiatric conditions.
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