The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Following the success of the 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2002) in Singapore, FSKD 2005 in Changsha, FSKD 2006 in Xi'an, FSKD 2007 in Haikou, FSKD 2008 in Jinan, FSKD 2009 in Tianjin, FSKD 2010 in Yaitai, and FSKD 2011 in Shanghai, FSKD 2012 was held jointly with the 8th International Conference on Natural Computation (ICNC 2012) on 29-31 May 2012 in...
The aim of this paper is to develop the fuzzy congruence theory of general residuated lattices. We introduce the concept of (∈, ∈ ∨qk)-fuzzy congruence relation on a residuated lattice, and the relation between (∈, ∈ ∨qk)-fuzzy congruences and (∈, ∈ ∨qk)-fuzzy filters is investigated. Finally, we construct a new residuated lattice which induced (∈, ∈ ∨qk)-fuzzy congruences, the homomorphism theorem...
Floating car data provided the speed of each section every five minutes. The clustering methods could reflect the fuzzy character of traffic states, but the parameter threshold would be man-made subjectivity somehow. The neural network could solve this problem, but the floating car data could not be used directly because of the training time as the data was too massive. Based on the reality road network...
This paper proposes a novel method for solving the two-sided matching problem, in which the preferences provided by agents are in the form of scores. Firstly, the problem description of two-sided matching with scores is given. Then the related concepts on satisfaction degree are given. Considering the satisfaction degree of each agent, a multi-objective optimization model is set up. The linear weighted...
A new notion of semiregular compactness in L-topological spaces is introduced by means of semiregular open L-sets and their inequality where L is a complete DeMorgan algebra. This new definition doesn't rely on the structure of basic lattice L. When L is completely distributive DeMorgan algebra, its many characterizations are presented.
In this paper, a reformative supervised fuzzy LDA algorithm (RF-LDA) using a relaxed normalized condition is presented firstly to achieve the distribution information of each sample of images that represented with fuzzy membership degree, which is incorporated into the redefinition of the scatter matrices. Moreover, the need for such a novel fuzzy linear LDA model construction, reduced to parameter...
Fuzzy association rules (FAR) are well suited for the thinking of human subject and will help to increase the flexibility for supporting user in making decisions or designing the fuzzy systems. The classic extraction of associative rules suffers from a high number of generated rules. To overcome this problem, several studies have been developed to extract a generic subset of all rules. These generic...
A new adaptive fuzzy control scheme with its adaptive laws to guarantee control objectives without so many initialization assumption constraints and minimum tracking error is proposed in the paper. With the new scheme, dead zone function is incorporated into tracking error vector for the design of the adaptive laws which provide on-line tuning for the parameters of the MIMO non-line system. The adaptive...
Many batch processes can be considered as a class of control affine nonlinear systems. In this paper, a novel adaptive learning approach for batch process modeling is developed. By introducing dynamic error transfer factor associated with mean squared error and using extended recursive least squares approach, the proposed approach can offer an effective fuzzy T-S predication model, resolve the conflicting...
In this paper we prove that if S is a hypersemigroup, then the set F(S) of all fuzzy subsets of S is a poe-semigroup, that is a partially ordered semigroup with the greatest element e. Furthermore, we prove that S can be embedded F(S).
This paper studies the application of mathematical expectation-variance in the group decision making. First, the problem of group decision making based on different types of preference information is studied. The mutual transformation relations of preference information are researched. New and more reasonable transformation equations are acquired. Then a method of group decision making is given based...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.