Knowledge-based multi-attribute classification problems are, at least, ill-structured or even unstructured ones, since a human being judgments are the primary source of information for their solving. Thus, not only th...
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ISBN:
(纸本)9789812799463
Knowledge-based multi-attribute classification problems are, at least, ill-structured or even unstructured ones, since a human being judgments are the primary source of information for their solving. Thus, not only the classification rules eliciting, but the application domain (AD) structuring as well is a complex problem itself, particularly, in the context of complete (up to the expert knowledge) and consistent knowledge base construction for a diagnostic decision support system (DDSS). Two techniques are proposed as aids for an expert in such problem structuring. It is argued that AD structuring and classification rules eliciting have to be arranged as interconnected procedures.
In this paper, an Infinite Impulse Response-Locally Recurrent Neural Network (IIR-LRNN) is employed for modeling the dynamics of the Lead Bismuth Eutectic eXperimental Accelerator Driven System (LBE-XADS). The network...
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ISBN:
(纸本)9789812799463
In this paper, an Infinite Impulse Response-Locally Recurrent Neural Network (IIR-LRNN) is employed for modeling the dynamics of the Lead Bismuth Eutectic eXperimental Accelerator Driven System (LBE-XADS). The network is trained by recursive back-propagation (RBP) and its ability in estimating transients is tested under various conditions. The results demonstrate the robustness of the locally recurrent scheme in the reconstruction of complex nonlinear dynamic relationships.
Fuzzy logic, neural networks and genetic algorithms are three popular artificial intelligence techniques that are widely used in many applications. Due to their distinct properties and advantages, they are currently b...
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ISBN:
(纸本)9789812799463
Fuzzy logic, neural networks and genetic algorithms are three popular artificial intelligence techniques that are widely used in many applications. Due to their distinct properties and advantages, they are currently being investigated and integrated to form new models or strategies in the areas of system control. This paper presents an adjustment strategy for a dual-fuzzy-neuro controller (DFNC) in the gas-fired water heater control. In this method, strategies to adjust the DFNC in accordance with the environment dynamics are automatically generated in off-line manner using genetic algorithms (GA). The generated strategies are stored in a neural network and used for adjusting the DFNC on-line. Therefore, the DFNC is automatically adjusted in accordance with the unknown dynamics of an environment using the generated strategies which are stored in the neural network. Fuzzy fitness evaluation method is proposed for the effective evolution of the neural network in the GA process.
In this paper we consider that a group of decision makers rank a set of alternatives by means of weak orders for making a collective decision. Since decision makers could have very different opinions and it should be ...
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ISBN:
(纸本)9789812799463
In this paper we consider that a group of decision makers rank a set of alternatives by means of weak orders for making a collective decision. Since decision makers could have very different opinions and it should be important to reach a consensuated decision, we have introduced indices of contribution to consensus for each decision maker for prioritizing them in order of their contributions to consensus. These indices are defined by means of a consensus measure which assigns a number between 0 and 1 to each subset of decision makers. For putting in practice this idea, we have introduced a class of consensus measures based on distances on weak orders and we have analyzed sonic of their properties. We have illustrated the weighted decision procedure with an example.
A version of the conditional probability of an IF-event is formulated in this contribution. Max and min operations with IF-sets (KRACHOUNOV(1)) are considered instead of Lukasiewicz operations. Also some properties of...
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ISBN:
(纸本)9789812799463
A version of the conditional probability of an IF-event is formulated in this contribution. Max and min operations with IF-sets (KRACHOUNOV(1)) are considered instead of Lukasiewicz operations. Also some properties of conditional probability are proved.
Determining concept similarity in heterogeneous ontologies is a vital problem in the area of the semantic web. Current approaches normally consider single hierarchial concept relations, only, which fail to express ric...
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ISBN:
(纸本)9789812799463
Determining concept similarity in heterogeneous ontologies is a vital problem in the area of the semantic web. Current approaches normally consider single hierarchial concept relations, only, which fail to express rich and implied information. Moreover, concept similarity under multiple relations as required in many application scenarios of semantic web services has not been investigated, yet. Basing on a method to merge heterogenous ontologies into an application ontology, here a representation model for application ontologies is elaborated. It has the form of a semantic net with multiple weighted concept relations, for which a novel algorithm to assess concept similarity is presented.
Thermonuclear fusion devices of the Tokamak type can operate in distinct confinement regimes, which present different properties in terms of performance and plasma parameters. Discriminating among them in real time wo...
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ISBN:
(纸本)9789812799463
Thermonuclear fusion devices of the Tokamak type can operate in distinct confinement regimes, which present different properties in terms of performance and plasma parameters. Discriminating among them in real time would represent a useful advantage for an efficient control of the experiments. A comparison between two automatic identifiers, one based on fuzzy logic and another based on classification and regression trees, is presented. A robustness assessment, adding Gaussian white noise to the input signals, was performed to determine the properties of the two approaches in realistic experimental conditions.
In decision making problems dealing with linguistic information and multiple sources of information it may happen that the sources have different degree of knowledge about the problem then they provide their informati...
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ISBN:
(纸本)9789812799463
In decision making problems dealing with linguistic information and multiple sources of information it may happen that the sources have different degree of knowledge about the problem then they provide their information in different linguistic term sets defining a multigranular linguistic context. Different approaches have dealt with this type of information that present different limitations. In this contribution we extend the structure of Linguistic Hierarchies hi order to improve and make more flexible the management of multigranular linguistic information ill Decision Making problems.
In order to deal with multiple attribute group decision making with incomparable linguistic preference information, some new kinds of linguistic-valued aggregation operators, namely, linguistic-valued ordered weighted...
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ISBN:
(纸本)9789812799463
In order to deal with multiple attribute group decision making with incomparable linguistic preference information, some new kinds of linguistic-valued aggregation operators, namely, linguistic-valued ordered weighted averaging (LVOWA) operator and linguistic-valued hybrid aggregation (LVHA) operator are proposed. Based on the LVOWA and LVHA operators, an approach to multiple attribute group decision making is given.
A Content-Based Recommender System lets to suggest now products to the user taking into account the likeness with the content (description) of other products that the user rated before. In this paper we present a reco...
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ISBN:
(纸本)9789812799463
A Content-Based Recommender System lets to suggest now products to the user taking into account the likeness with the content (description) of other products that the user rated before. In this paper we present a recommender system that is capable of incorporating knowledge about the structure of the content of the products and help it to improve the recommendations. We use Bayesian Networks for modeling the structure of the products and the relations between them and the system users.
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