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A fuzzy formal context of fuzzy linguistic valuesis constructed by a voting mechanism with scepticism levels. Formally, the formal context could be understood as votingagents believe that fuzzy linguistic values are appropriate fordescribing objects. Based on operation of formal concept analysis, the belief degrees of fuzzy linguistic values is calculated. Furthermore, compound fuzzy linguistic values...
The multidisciplinary design optimization (MDO) approach is very crucial for the conceptual design of the aircraft, and this is due to the complex interaction between different disciplines, especially for the hypersonic vehicle. In the hypersonic vehicle, the airframe and the engine are highly integrated. In the current survey, the research progress in the MDO approach has been reviewed comprehensively...
As the competitive networked robot system has the characteristics of strong interaction and high real-time request, the present control methods which are mostly used for the collaborative networked robot system may not be directly applied to the competitive one. Thus the hierarchical control architecture for the competitive networked robot system is proposed in this paper in order to adapt to its...
Without a clear understanding of the benefit associated with different levels of flexibility, companies are reluctant to invest in flexibility, especially when reliable data, accurate cost and benefit analysis are difficult to obtain. In this paper, the flexibility theory and models are elaborated, then the five risk sources exist in the supply chain were pointed out, in the end measures using elasticity...
The paper presents a novel Uncertain Cost-Revenue (UCR) model based on Fuzzy Multiple Attribute Hierarchical Macro-Location model (FMAHML) of Logistics node, which uses “bounded rationality”, “bounded memory” and “group decision making” methods with multi-resolution technology. It is integrated with multiple attribute decision making, fuzzy decision making, Analytic Hierarchy Process (AHP) and Delphi...
Decision making under uncertainty has very popular application fields. This paper analyzes the difference of decision under risk and under uncertainty, and provides a simple axiom of the Choquet Expected Utility model where the capacity is a subject measure to deal with decision under uncertainty. At last, a reinterpretation of enterprise clustering is given.
According to cluster supply chain for increasing risk, supply chain management more complex issue. In this paper, through the establishment of cluster supply chain risk evaluation indexes system, the use of ANP (The Analytic Network Process) amended based on entropy, through comprehensive indexes of non-linear evaluation model and its algorithm, effectively solve the general linear methods can not...
In order to model complex objects with imprecision and uncertainty, fuzzy object-oriented databases have been proposed. In this paper, some algebraic operations are investigated based on a kind of fuzzy object-oriented database model. We also discuss fuzzy query processing of the fuzzy object-oriented databases.
Efficient management of inventory in supply chains is critical to the profitable operation of modern enterprises. The supply/demand networks characteristic of discrete-parts industries represent highly stochastic, nonlinear, and constrained dynamical systems whose study merits a control-oriented approach. Minimum variance control (MVC) strategy is applied to solve the dynamic optimization problems...
We develop a theory of top-K ranking for objects whose values may be uncertain, incomplete, or difficult to be characterized quantitatively, but between which some constraints may be required to be satisfied. We present our ranking theory for discrete space, continuous space, and the general case with probability distributions and complex constraints. The central question to be addressed is how to...
In this paper, based on possibility distribution and the semantic measure of fuzzy data, we investigate subclass-superclass relationships in the fuzzy object-oriented databases. We identify fuzzy class and develop soft computing methods in the paper to quantitatively determine the fuzzy subclass-superclass hierarchies. The strategies to resolve the conflicts in multiple inheritance of class are also...
With the development of science and technology, the competition of situation in the market has become more and more fierce. The risk is everywhere. How to reduce risk, avoid risk, minimize risk of the project, is the urgent business, and in the current complicated situation, Cobb-Douglas production function as a mathematical model of the economy, because of its variable value of uncertainty, the economic...
Decision Suppose System is playing an important role in computer science, technology and engineering, while intelligent decision-making is one of the current hotspots. Intelligent decision-making methods and their algorithms are one of the most important basics and key cores in intelligent information processing, intelligent pervasive computing and so on. In view of multi-attribute decision-making...
To find an effective model for safety assessment of civil engineering structures under the uncertainty and data lack, the unascertained set was introduced to measure the reliability and a safety assessment model with credible identification principle was set up. Then, engineering practice for the reliability assessment of a cable-stayed bridge showed that the model proposed here can complete the safety...
According to the different proportion of unknown and uncertain information to the entropy, the present measurements for vague set were divided into three groups. Tow new measurements were proposed according to the proportion as well. Finally A weighted measure of entropy for vague set was introduced. Several data and examples were used to test the measurements above, which demonstrates the different...
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