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The essential role of the particular families of capacities and the capacity identification methods is to help the decision maker to deal with the exponential complexity inherent in the construction process of the capacity. The 2-additive capacities appear to be the most popular among the particular families of capacities since they permit to model interactions between criteria while preserving simplicity...
Attribute reduction for set-valued ordered fuzzy decision system that considers attributes with preference-ordered domains and fuzzy decision attributes is investigated. Firstly, a δ -dominance relation is proposed, and δ -dominance relation-based rough fuzzy set model is defined for set-valued ordered fuzzy decision system. Then, judgment theorem of attribute consistent...
ISO/IEC 20000: 2011 and ITIL v3 provide reference process management strategy for IT service practice. However, because of the variety of IT services, process management is difficult to establish an accurate quantitative process model. Since the core of IT service quantitative management is managing processes quantitatively, it is necessary to establish a quantitative model for process management...
An important feature of the smart grid electricity is using prediction of high-precision power consumption for intelligent deployment, highly accurate forecasting of the power information is a key indicator of intelligent network. In this paper, we implement Gaussian kernel function to transform nonlinear regression of a low-dimensional to the linear regression in high-dimensional space. The power...
This paper considers the stability and Hopf bifurcation for a class of neural network model. Regard the delay ????as a parameter, this paper discussed the range of stability of an equilibrium point when0???????? and the conditions under which the system has a Hopf bifurcation can be obtained in this paper.
Transportation resources allocation of group enterprise is an important research issue. Based on the non-convex interval goal programming and the discrete resources ideology, this paper sets up three categories, eight basic models for the analysis of enterprise transportation resources allocation. These basic models could be modularly used in practice. Our research outcomes are consistent with the...
With the increasing environmental damage and depletion of natural resources, the costs of economic growth in the future would exceed its benefits unless the implementation of innovations. This paper discussed these innovations for counties-the basic unit of national economy. After the introduction of the sustainable status of county economy in China, a case of ZIYUAN County in Guangxi has been analyzed,...
The recent economic reform of China's manufacturing has resulted in its rapid expansion to grow faster. However, the resultant increase in the use of energy has resulted in energy efficiency improvement. In this paper, rebound effect in the macro-economic scale is used to explore the positive effects on the energy efficiency improvement. GDP is taken into account. Next, an economic analysis is carried...
Trustworthy software has attracted increasing concern both in academia and industry. How to effectively evaluate the trustworthiness is becoming a closed question. This paper models the software trustworthiness evaluation (STE) problem as a multi-criteria decision-making (MCDM) problem, and proposes both an evaluation framework and a practical approach to evaluate the software trustworthiness based...
The (minimizing) achievement function of the traditional Goal Programming (GP) model has five basic forms: ni, pi, (ni+pi), (ni-pi), and (pi-ni), where ni and pi are th nonnegative under and over achievement variables in the i goal-constraint. Zhang and Shang (2001) proposed the theory of Goal Programs with -ni, -pi, and -(ni+pi) goals, which has many interesting and practical applications. This paper...
This paper, first, discusses a optimization scheduling problem which was considered as the manufacturing execution system was designed in a enterprise of manufacturing tyres. And then this problem is reduced to a scheduling problem to minimize setup times with batch setup time depending on sequence. A method for solving tyre production scheduling problem using an effective adaptive hybrid genetic...
Trusted software gains more attentions in recent years by researchers who focus their study on improve the quality of software. In this paper, an approach based on OWG operator to establish evaluation index system for trusted software is presented. Software quality has not been comprehensive evaluation due to lack of integrated evaluation index system. To overcome this challenge, this paper building...
Artificial intelligent models such as Artificial Neural Network, Genetic Algorithms, etc., play important roles in decision making. However, diversity in natures of intelligent models makes it difficult to decide which model is the most suitable one in solving certain decision problems. This paper proposes criteria of deferent suitability levels to evaluate the suitability of intelligent methods to...
Operational risk (oprisk) measure is one of the primary management in banks. Because of the uncertainty in oprisk assessing it's important to use the uncertainty reasoning theory to quantify the information from experts, owing to the key role of the experts' knowledge to the oprisk measurement. This paper used the DS evidence theory to establish the frame of discernment, collect the information from...
According to the management and assignment of conflicted evidences in the evidence combination, the paper introduces the supporting degree of focal element of conflicted evidences to the combination rule according to these issues, and suggests a new way of combination assignment. Based on the support degree of focal element, we establish a combination rule of evidence theory. Besides, the paper also...
For a two-echelon supply chain consisted of multi-plants and multi-warehouses, with multi-productions, this paper develops a bi-level programming model aims to minimize the total cost. The problem includes two sub-problems: the higher-level problem and the lower-level problem respectively decided by plants and warehouses. Built in dynamic environments the model has fuzzy parameters in constraints...
This paper extends TOPSIS (technique for order preference by similarity to ideal solution) to solve multiple attribute decision analysis (MADA) problems in the situation of belief group decision making (BGDM) where the evaluation of each decision maker (DM) is represented by the bba (basic belief assignment). In the extended TOPSIS, we combine group preferences with the pre-operation of external aggregation,...
Measurement of operational risk (oprisk) is one of the primary management concerns of banks. Because of the uncertainty common in assessing oprisk it's important to use the uncertainty reasoning theory to quantify the information from experts, owing to the key role of the experts' knowledge to the oprisk measurement. This paper used the DS evidence theory to establish the frame of discernment, collect...
With the rapid development of e-commerce, the importance of mining and predicting user's navigation patterns grows larger than before. As an important task of Web usage mining, mining users' navigation patterns is the fundamental approach for generating recommendations. But the user interests are changeable, and it is difficult to track the exact user navigation patterns. In this paper, we propose...
This paper addresses a dynamic lot sizing problem with mixed backlogging and outsourcing and non-decreasing inventory capacity. In this problem, outsourcing can occur in a period even if the inventory level at that period is positive, and outsourcing level at each period can not exceed the demand of that period. The outsourcing, backlogging and holding costs are linear. Production cost may include...
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