This paper focuses on investigating the inference rules with generalized quantifiers in a lattice-valued first-order logic system IF(X) with truth-values in a linguistic truth-valued lattice implication algebra (L-LIA...
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ISBN:
(纸本)9789812799463
This paper focuses on investigating the inference rules with generalized quantifiers in a lattice-valued first-order logic system IF(X) with truth-values in a linguistic truth-valued lattice implication algebra (L-LIA). Since the qualifier constraint may become more important when considering the semantic of natural language, so in using multi-valued logic as a tool to model approximate reasoning, how to control the truth-value transfer during the inference process for some rule with qualifiers is very important, which is not the case in classical logic in which the logic deduction system is symbolic reasoning with strict syntactical proof, the semantics are too simple to be considered. This work put more effort on semantic interpretation and truth-valued transfer, especially present and investigate some reasoning rules with generalized quantifiers (rather than universal quantifiers and existential quantifier only) for lattice-valued first-order logic system CF(X). We prove the satisfiability and validity of these inference rules, where inference rules are interpreted by the semantic truth value transfer, which shows the control of truth-value level during the inference process.
The fuzzy set theory is a powerful method to analyze the statistical data which includes ambiguity or vague comes from the structure of the process, measurement systems or environmental conditions. Crisp value collect...
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ISBN:
(纸本)9789812799463
The fuzzy set theory is a powerful method to analyze the statistical data which includes ambiguity or vague comes from the structure of the process, measurement systems or environmental conditions. Crisp value collected process can transform the fuzzy numbers (a,b,c) by using the membership functions and calculate fuzzy control limits by using the traditional control limits equations. Thus, the flexibility on control limits can be achieved by analyzing the process like "in-control" or "out of control". The regression control chart is used especially to evaluate the tool wearing problem in industry. In the traditional regression control chart, all data assume crisp value. With fuzzy set theory, the fuzzy regression control chart can be handled based on a-cuts approach by using the fuzzy midrange transformation techniques. In this study, the theoretical structure of alpha-level fuzzy midrange for a-cuts for fuzzy X-regression control charts and fuzzy (R) over tilde control chart are proposed.
We suggest the use of parametric LU-fuzzy numbers, obtained by families of spline functions, to model fuzzy partitions and to use as basic functions ill the direct and inverse fuzzy transforms;we point out the advanta...
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ISBN:
(纸本)9789812799463
We suggest the use of parametric LU-fuzzy numbers, obtained by families of spline functions, to model fuzzy partitions and to use as basic functions ill the direct and inverse fuzzy transforms;we point out the advantages of the parameterizations in flexible, approximation of continuous and differentiable functions and ill curve fitting.
Techniques for plasma diagnostic data processing that are relatively new to fusion research are described. The following problems are considered: plasma boundary reconstruction using video images, optimization of real...
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ISBN:
(纸本)9789812799463
Techniques for plasma diagnostic data processing that are relatively new to fusion research are described. The following problems are considered: plasma boundary reconstruction using video images, optimization of real or numerical experiments with artificial neural networks, application of support vector machine to the classification of plasma pulses, processing of magnetic diagnostics data using hidden Markov models, clustering and navigation in the database of graphical information with Kohonen self-organizing maps, reconstruction of the distribution of light source using high-resolution plasma images. Examples of successful solution of different problems in fusion are given, which prove the high efficiency of the methods and motivate further applications.
This paper tries to show, only from a theoretical perspective, the importance of well designing the representation of fuzzy systems whose behaviour is known by a linguistic description of it. The process of designing ...
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ISBN:
(纸本)9789812799463
This paper tries to show, only from a theoretical perspective, the importance of well designing the representation of fuzzy systems whose behaviour is known by a linguistic description of it. The process of designing the representation by means of fuzzy sets, connectives, and relations, marks an actual distinction between the fuzzy and the formal logic methodologies, two different disciplines whose agendas are not coincidental.
We develop a new approach for linguistic decision making with Dempster-Shafer (D-S) belief structure by using the 2-tuple linguistic representation model. Then, we are able to represent the D-S problem with linguistic...
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ISBN:
(纸本)9789812799463
We develop a new approach for linguistic decision making with Dempster-Shafer (D-S) belief structure by using the 2-tuple linguistic representation model. Then, we are able to represent the D-S problem with linguistic information and without loss of information in the computing process. For doing this, we suggest the use of different types of linguistic aggregation such as the 2-tuple linguistic ordered weighted averaging (2-TOWA) operator. Then, we will obtain the belief structure - 2-tuple linguistic ordered weighted averaging (BS-2-TOWA) operator.
In this paper we present a method to rate and rank regions for landing site selection, assuming that Spacecrafts are equipped with cameras that take pictures during the descent phase on planets. In the final stages of...
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ISBN:
(纸本)9789812799463
In this paper we present a method to rate and rank regions for landing site selection, assuming that Spacecrafts are equipped with cameras that take pictures during the descent phase on planets. In the final stages of landing on a planet, we have to consider that the spacecraft size covers more than one pixel on a target image;hence instead of selecting pixels we have to select regions for safe landing. The rating method includes defining the set of regions to be classified (alternatives) and then uses the uninorm operator to determine the rating of each region, thus ensuring a full-reinforcement behavior for the regions rating process.
We introduce Restriction Level relations (RL-relations) to represent imprecise relations. The proposal is based on the notion ofRL-representation of imprecise properties proposed by the authors as an alternative to fu...
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ISBN:
(纸本)9789812799463
We introduce Restriction Level relations (RL-relations) to represent imprecise relations. The proposal is based on the notion ofRL-representation of imprecise properties proposed by the authors as an alternative to fuzzy representations, with the advantage that the ordinary properties of the crisp case are preserved. On this basis we define RL-preference structures and discuss about the properties of this new approach.
In this paper we analyze the structural properties of the inconsistencies detected by the crude algorithm for segmentation of digital images introduced by some of the authors in a previous work. Such analysis will sug...
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ISBN:
(纸本)9789812799463
In this paper we analyze the structural properties of the inconsistencies detected by the crude algorithm for segmentation of digital images introduced by some of the authors in a previous work. Such analysis will suggest an alternative algorithm for image segmentation.
While we try our utmost to improve the performance of GMDSS (Global Maritime Distress and Safety System) equipments to reduce the increasing false alerts at sea, the ratio of false alert is still high. It has been mak...
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ISBN:
(纸本)9789812799463
While we try our utmost to improve the performance of GMDSS (Global Maritime Distress and Safety System) equipments to reduce the increasing false alerts at sea, the ratio of false alert is still high. It has been making bad effect to the safety at sea and wasting the resource of SAR (Search and Rescue). Therefore it is necessary to make an alerting processing system to identify the false alert rapidly before taking SAR action. This paper designs a Marine Alert Processing System based on intelligent fusion and attribute theory. MAPS can identify alert rapidly and exactly and sends the result to SAR decision support system at RCC.
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