Acquiring precise data is expensive. Hence, there is interest in the development of computer algorithms that make full use of imprecise data, even though these new algorithms may be more complex and require more resources. In particular, most Genetic Fuzzy Systems (GFS). accept crisp inputs, but changes can be effected to them so that rules are obtained from vague data. Furthermore, the rule ge...

We propose a fuzzy random survival forest (FRSF) to model lapse rates in life insurance portfolio containing imprecise or incomplete data such as missing, outlier, noisy values. Following the methodology, FRSF is proposed new machine learning technique for solving time-to-event using an ensemble of multiple trees. In process, combination methods c-index, sets theory, and trees enable automatic ...

this paper develops an operational perspective of supply chain sustainability, by considering it as a risk management process. it explores the nature of sustainability-related supply chain risks, distinguishes them from typical supply chain risks and develops an analytical process for their management. an empirical study is conducted to generate insights about how sustainability-related risks s...

the main purpose of this paper is analyzing sustainability condition for potato cultivation in bahar-hamedan plain. potato farmers population in this plain is 2054 individuals. we obtained sample size, which are 162 by using cochrane’s formula. for increasing accuracy 172 samples fill out the questionnaires. data analyzed by spss software. results showed that sustainability level was low or ver...

It is valuable in engineering design to distinguish between two different types of uncertainty: inherent variability and imprecision. While variability is naturally random behavior in a physical process or property, imprecision is uncertainty that is due to a lack of knowledge or information. There are many sources of imprecision in design. Sequential decision making introduces imprecision beca...

a manufacturing process cannot be released to production until it has been proven to be stable. also, we cannot begin to talk about process capability until we have demonstrated stability in our process. this means that the process variation is the result of random causes only and all assignable or special causes have been removed. in complicated manufacturing processes, such as drilling proces...