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Soft computing is a consortium of methodologies which work with real life problems and provides in one form or another flexible information processing capabilities for handling real-life and complex situations [19].
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This strategy is the response surface methodology, which works under the same conditions of the DOE.
The backbone of this system is the Case-Based Reasoning (CBR) methodology, which works by searching through a case library created from previous designs whose identifying features resemble the current case.
However, the field is still lacking a simple implementation of a confidence scoring methodology, which works over any standards compliant dataset and can readily be used by bench scientist to assess the quality of their own data prior to publication using code made publicly available to enable this.
The paper illustrates this methodology by building several conformant planners which work for domains with complex relationship between the fluents.
It identifies the more effective and safer work methodologies which lead to increased productivity and also reduce workers compensation costs.
In fuzzy set approaches, words are mapped to fuzzy sets, on which work operations of the developed methodologies.
In addition, the working group IEEE 802.16p-10/0014 provariousarious methodologies which seem to be helpful for M2M communications.
This finding is consistent with recent work using cell culture and brain slice-based methodologies, which showed that miR132 increased spinogenesis [13].
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