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Components are often subject to multiple competing degradation processes. For multicomponent systems, the degradation dependence within one component or/and among components need to be considered. Physics-based models and multistate models are often used for component degradation processes, particularly when statistical data are limited. In this paper, we treat dependence between degradation processes...
Risk assessment is the core as well as the most difficult and time-consuming part in real estate project investment and decision-making. In this paper, on the basis of project investment risk assessment methods widely used at home and abroad currently, combined with modern fuzzy mathematical theory and methodology, a network model appropriate for the investment risk assessment of the overall process...
In this article we show the importance of the class of fuzzy differential equations where the right hand side of the equation is a fuzzy function generated by applying Zadeh's extension principle. Through concrete examples, we show that fuzzy functions obtained by applying Zadeh's extension principle are more appropriate than fuzzy functions obtained by using the usual fuzzy interval arithmetic (R...
Qualitative reasoning makes use of qualitative assessments provided by subject matter experts to model factors such as security risk. Confidence in a result is important and useful when comparing competing results. Quantifying the confidence in an evidential reasoning result must be consistent and based on the available information. A novel method is proposed to relate confidence to the available...
From the angle of the traditional energy assessment, the fuzzy probability theory is applied to appraise the green energy. Firstly, the influential factors of the green energy assessment for energy project are analyzed according to China's national conditions. The factors of energy project are divided into four parts, such as absolute cost, ecological harmony, energy security and sustainability. The...
This paper presents A design of H∞ fuzzy controller for HIV/AIDS infection system with dual drug dosages. The Tagaki-Sugeno (TS) fuzzy model is applied for fuzzy modeling of the HIV infection dynamic system. A sufficient condition of the controller for this system is given in term of Linear Matrix Inequalities in systems (LMIs). The effectiveness of the proposed controller design methodology is finally...
This paper established inventory control model of deteriorating items based on time under the VMI mode, it introduced the fuzzy membership function of the decay rate based on the model in the past, which is more suitable for the realistic situation and the conclusion is more practical.
Graphical evaluation review technique is a kind of powerful modeling tools whose scope of application covers almost all areas of the national economy. But classical GERT network technology can't solve random network with the fuzzy information parameter. In view of random network with the fuzzy information parameter, a new F-GERT network modeling technique which considers the fuzzy information is proposed...
According to the affective model based on rough fuzzy sets, this paper presents a new method to mine and analyze affective dynamic transition law. This method combines Markov chain with rough fuzzy sets, and mines affective dynamic transition law in stable environment. The definition of affective entropy enables us to analyze affective dynamic transition law conveniently. Simulation shows that the...
This paper studies the problem of multi-criteria comprehensive evaluation under the uncertain information, i.e., the criteria values are given in the forms of linguistic fuzzy numbers. The method of transforming the linguistic fuzzy numbers into trapezoidal fuzzy numbers is given, and a new multi-criteria comprehensive evaluation model is presented based on an optimization method of deviation degree...
Estimating the coefficients of objective functions in multi-objective model is sometimes difficult in real situations. Mathematical analysis of statistical data is used to determine the coefficients. In various cases, the statistical data may not contain only randomness, but also fuzziness, which should be treated properly. Thus, this paper employs fuzzy random regression model to approximate the...
When an organization utilizes modern technology in its manufacturing process, it needs to update and upgrade its facilities repetitively by efficient ways to stay with great productivity along with efficiency so. Capital Budgeting (CB) problem is one of the most important issues in decision makings about capital in the manufacturing management. Sometimes all variables and parameters are not necessarily...
In this paper, we briefly review the development of niche concept at first. In the later part, we fill the details of research working at a broad range of ecological modelling level. Because the literal description of concept is still a rough sketch and highly abstract, we pay more attention to connect it to the work of the modeling which set the stage for quantitative measurement. This will lead...
Most of the inventory models under delay in payments only considered the relationship between the manufacturer and the retailer. However, in practice, the retailer also provides the customer with the credit period to stimulate demand. A three-echelon supply chain system with one manufacturer, one retailer and one customer is presented in this paper. From the perspective of the retailer, fuzzy inventory...
This article outlined the ideas of fuzzy comprehensive evaluation, and then researched the innovative ability of undergraduate, by designing innovation ability evaluation index system and evaluation criteria, constructing fuzzy comprehensive evaluation model, and used an empirical analysis to evaluate of student innovation ability; finally put forward ideas for the evaluation of the results.
An extended evaluation method for the decision-making problems of alternatives is introsuced by means of extension theory. The extended evaluation method can carry out the decision-making problems of the alternatives based on matter-element models and extended relational degrees. The matter-element model of the desired alternative (ideal alternative) and the matter-element models of alternatives are...
Credibility mean-variance-skewness model for optimal portfolio selection is formulated based on the credibility theory, and the crisp equivalents are given by chance programming approach, when parameters are characterized by trapezoidal fuzzy variables. Furthermore, a genetic algorithm is designed for solving the crisp equivalents.
Vendor-managed inventory (VMI) has become more and more popular in some supply chains. This paper considers a vendor managed inventory model including a single manufacturer and a single retailer with fuzzy demand and compares the profits in VMI system with those in RMI (retailer-managed inventory) system. A triangular fuzzy number is used to model the external demand, and the closed form solutions...
With the process of economic globalization accelerating, the cooperation among enterprises becomes closer than before. Joint managed inventory was adopted to lower production costs and get high profit. However it is the key and foundation to keep the whole supply chain efficient and orderly whether the profit allocation is reasonable. The strategy of JMI in the supply chain was studied. The methods...
Stock market fluctuation is very challenging to investors. They have to make important decision regarding dollar and cent in uncertain environment. Therefore the study has introduced a model to present the uncertainty in stock returns. The model was derived by incorporating the MV model and the VBS fuzzy model. Using fuzzy approach, the study introduced an extended MV model. To investigate the effectiveness...
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