Liu’s inference is a process of deriving consequences from uncertain knowledge or evidence via the tool of conditional uncertainty. Using identification functions, this paper derives some expressions of Liu’s inference rule for uncertain systems. This paper also discusses Liu’s inference rule with multiple antecedents and with multiple if-then rules.

During the milling process, one of the most important factors in reducing tool life expectancy and quality of workpiece is the chattering phenomenon due to self-excitation. The milling process is considered as a MIMO strongly coupled nonlinear plant with time delay terms in cutting forces. We stabilize the plant using two independent Emotional Learning-based Intelligent Controller (ELIC) in par...

In some quality control applications, the quality of a process or a product is described by the relationship between a response variable and one or more explanatory variables, called a profile. Moreover, in most practical applications, the qualitative characteristic of a product/service is vague, uncertain and linguistic and cannot be precisely stated. The purpose of this paper is to propose a ...

Risk ranking of Horizontal Directional Drilling (HDD) for gas and oil wells is a key criterion in the project feasibility, pricing and for introducing a risk management strategy that aims to reduce the number of failures in the installation phase and its negative consequences. HDD is currently widely used in drilling wells in Iran, but research in the area of identification and risks ranking of...

Quality function deployment (QFD) is a customer-driven approach, widely used to develop or process new product to maximize customer satisfaction. Last researches used linear physical programming (LPP) procedure to optimize QFD; however, QFD issue involved uncertainties, or fuzziness, which requires taking them into account for more realistic study. In this paper, a set of fuzzy data is used to ...

This paper is concerned with valuation of stock loans. The underlying stock price is assumed to follow a mean reverting uncertain differential equation driven by canonical Liu process in this paper. The price formulas of standard stock loan and capped stock loan are derived by using method of uncertain calculus within the framework of uncertainty theory.

In this paper, we propose a new rough set classifier induced from partially uncertain decision system. The proposed classifier aims at simplifying the uncertain decision system and generating more significant belief decision rules for classification process. The uncertainty is reperesented by the belief functions and exists only in the decision attribute and not in condition attribute values.