Wyniki wyszukiwania - BazTech

1

Methods for building a knowledge base for automatic communication in shipping

Wójcik A., Pietrzykowski Z.

Zeszyty Naukowe Akademii Morskiej w Szczecinie

|

2016

|

nr 47 (119)

176--180

EN

One of the most significant phases for automation of communication processes in shipping is building a knowledge base for inference processes. Communication processes include: exchange of information, perception of communication and interaction between navigators. Computing with words has been used to represent inference processes covering imprecise concepts that are characteristic of natural languages. Elements of classical predicate calculus were adopted as a basic form of writing inference rules. Methods for constructing a knowledge base were chosen. The knowledge base architecture was proposed. This article also presents examples of inference rules in a knowledge base for automatic communication in shipping.

2

Modeling communication processes in maritime transport using computing with words

Wójcik A., Hatłas P., Pietrzykowski Z.

Archives of Transport System Telematics

|

2016

|

Vol. 9, iss. 4

47--51

EN

The paper deals with communication processes between ship navigators based on standard marine communication phrases. The authors consider information exchange, message perception and interactions, e.g. negotiations. For this purpose navigational information and communication ontologies have been complemented by elements of the protoform theory. The considerations include inference processes, related to additional information acquisition and negotiations. Computing with words is applied to the modelling of communication processes.

3

Computing with words with the use of inverse RDM models of membership functions

Piegat A., Pluciński M.

International Journal of Applied Mathematics and Computer Science

|

2015

|

Vol. 25, no. 3

675--688

EN

Computing with words is a way to artificial, human-like thinking. The paper shows some new possibilities of solving difficult problems of computing with words which are offered by relative-distance-measure RDM models of fuzzy membership functions. Such models are based on RDM interval arithmetic. The way of calculation with words was shown using a specific problem of flight delay formulated by Lotfi Zadeh. The problem seems easy at first sight, but according to the authors’ knowledge it has not been solved yet. Results produced with the achieved solution were tested. The investigations also showed that computing with words sometimes offers possibilities of achieving better problem solutions than with the human mind.

4

Computing with words, protoforms and linguistic data summaries : towards a novel natural language based data mining and knowledge discovery tools

Kacprzyk J., Zadrożny S.

Journal of Automation Mobile Robotics and Intelligent Systems

|

2014

|

Vol. 8, No. 3

52--58

EN

We show how Zadeh’s idea of computing with words and perceptions, based on his concept of a precisiated natural language (PNL), can lead to a new direction in the use of natural language in data mining, linguistic data(base) summaries. We emphasize the relevance of Zadeh’s another idea, that of a protoform, and show that various types of Yager type linguistic data summaries may be viewed as items in a hierarchy of protoforms of summaries. We briefly present an implementation for a sales database of a computer retailer as a convincing example that these tools and techniques are implementable and functional. These summaries involve both data from an internal database of the company and data downloaded from external databases via the Internet.

5

Computing with words in communication processes at sea

Pietrzykowski Z., Banaś P., Wójcik A.

Metody Informatyki Stosowanej

|

2011

|

nr 5

207-214

EN

Navigational systems introduced on sea-going ships increasingly use modern informationcommunication technologies. The basic aim of these systems is to provide safe navigation by supporting the operative ship handling by the navigator. Marine accidents, however, still happen in most cases due to human errors. One of such errors is a lack of communication and co-ordination of actions between navigators steering their ships in vicinity of each other. A solution may be achieved by developing principles of automatic communication and cooperation, based on the standard marine communication phrases. As navigators communicate in a natural language, its formalization requires a mathematical form. To this end the authors propose computing with words. The article introduces a concept that extends the functionalities of automatic communication systems with negotiations. It also analyzes some typical dialogs that take place in the process of communication between navigators steering their ships in an encounter situation. A representation of such dialogs using computing with words approach is proposed and conclusions are set forth.

6

Rank Distance with Applications in Similarity of Natural Languages

Dinu L. P.

Fundamenta Informaticae

|

2005

|

Vol. 64, nr 1-4

135-149

EN

In this paper we introduce a metric for measuring the similarity between two classifications which differ by their constitutive elements. Our measure is inspired from natural language and genomics where the most important information is carried by the first part of the unit. We extend the measure to words and to rooted (un)labelled general trees. We use this metric to analyze the syllabic similarity of Romance languages.

7

Communication among agents: a set theoretic approach

Mousavi A., Jabendar-Maralani P.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

|

2003

|

Vol. 7, No 2

53-64

EN

This paper uses the notion of relative sets in relation to fuzzy set theory to provide a mathematical framework to analyze communication among agents. Each relative set partitions all objects into four distinct regions corresponding to four truth-values of Belnap's logic. Two orderings on relative sets are considered; one is an extension of the classical set inclusion ordering while the other is a new ordering of knowledge or information. According to these orderings, we can divide set theoretic problems into two major categories: reasoning problems and communicating problems. In the first category, an agent tries to extract a sound decision through granular reasoning. In this case, a granule represents a concept or a word. In the second category, each granule relates to an agent, and the problem is to compare agents' knowledge about concepts by their related granules, eg. a knowledge reduction problem. Then, we concentrate on the second category of problems and try to investigate this kind of problems in the context of fuzzy set theory. In this way, we could provide a basis for modeling and analyzing the relations among machines, which could communicate with each other using words and granules.

8

Synthesis and Evaluation Analysis of the Indicator Information in Nuclear Safeguards Applications by Computing With Words

Liu J., Ruan D., Carchon R.

International Journal of Applied Mathematics and Computer Science

|

2002

|

Vol. 12, no 3

449-462

EN

This paper aims at the handling and treatment of nuclear safeguard relevant information by using a linguistic assessment approach. This is based on a hierarchical analysis of a State's nuclear activities in a multi-layer structure of the evaluation model. After a hierarchical analysis of the State's nuclear activities on the basis of the IAEA Physical Model, the addressed objective is divided into several less complex levels. The overall evaluation can be obtained step by step from those lower levels. Special emphasis is put on the synthesis and evaluation analysis of the Physical Model indicator information. Accordingly, the aggregation process with the consideration of the different kinds of qualitative criteria is in focus. Especially, the symbolic approach is considered by the direct computation on linguistic values instead of the approximation approach using the associated membership function. In this framework, several kinds of ordinal linguistic aggregation operators are presented and analyzed. The application of these linguistic aggregation operators to the combination of the Physical Model indicator information is provided. An example is given to support and clarify the mathematical formalism.

9

Imposing Restrictions on Density Functions Utilised in Computing With Words

Gemeinder M.

International Journal of Applied Mathematics and Computer Science

|

2002

|

Vol. 12, no 3

383-390

EN

Applying the generalised extension principle within the area of Computing with Words typically leads to complex maximisation problems. If distributed quantities--such as, e.g., size distributions within human populations--are considered, density functions representing these distributions become involved. Very often the optimising density functions do not resemble those found in nature; for instance, an optimising density function could consist of two single Dirac pulses positioned near the opposite bounds of the interval limiting the possible values of the quantity considered. Therefore, in this article, density functions with certain shapes which enable us to overcome this lack of resemblance are considered. Furthermore, some considerations on solving the resulting maximisation problems are reported.

10

Fuzzy-Arithmetic-Based Lyapunov Synthesis in the Design of Stable Fuzzy Controllers: a Computing-With-Words Approach

Zhou C.

International Journal of Applied Mathematics and Computer Science

|

2002

|

Vol. 12, no 3

411-421

EN

A novel approach to designing stable fuzzy controllers with perception-based information using fuzzy-arithmetic-based Lyapunov synthesis in the frame of computing with words (CW) is presented. It is shown that a set of conventional fuzzy control rules can be derived from the perception-based information using the standard-fuzzy-arithmetic-based Lyapunov synthesis approach. On the other hand, a singleton fuzzy controller can be devised by using a constrained-fuzzy-arithmetic-based Lyapunov synthesis approach. Furthermore, the stability of the fuzzy controllers can be guaranteed by means of the fuzzy version of Lyapunov stability analysis. Moreover, by introducing standard and constrained fuzzy arithmetic in CW, the "words" represented by fuzzy numbers could be efficiently manipulated to design fuzzy controllers. The results obtained are illustrated with the design of stable fuzzy controllers for an autonomous pole balancing mobile robot.

11

Computing With Words and Life Data

Grzegorzewski P., Hryniewicz O

International Journal of Applied Mathematics and Computer Science

|

2002

|

Vol. 12, no 3

337-345

EN

The problem of statistical inference on the mean lifetime in the presence of vague data is considered. Situations with fuzzy lifetimes and an imprecise number of failures are discussed.

12

An Architecture for Making Judgments Using Computing With Words

Mendel J. M.

International Journal of Applied Mathematics and Computer Science

|

2002

|

Vol. 12, no 3

325-335

EN

Our thesis is that computing with words needs to account for the uncertainties associated with the meanings of words, and that these uncertainties require using type-2 fuzzy sets. Doing this leads to a proposed architecture for making judgments by means of computing with words, i.e., to a perceptual computer - the Per-C. The Per-C includes an encoder, a type-2 rule-based fuzzy logic system, and a decoder. It lets all human-computer interactions be performed using words. In this paper, a quantitative language is established for the Per-C, and many open issues about the perceptual computer are described.

13

A Fuzzy Logic Based Approach to Linguistic Summaries of Databases

Kacprzyk J., Yager R. R., Zadrożny S.

International Journal of Applied Mathematics and Computer Science

|

2000

|

Vol. 10, no 4

813-834

EN

In this paper, we present basic ideas and perspectives related to the use of fuzzy logic for the derivation of linguistic summaries of data (databases). We concentrate on the issue of how to measure the goodness of a linguistic summary, and on how to embed data summarization within the fuzzy querying environment, for an effective and efficient implementation. In particular, we propose how to efficiently implement Kacprzyk and Yager's (2000) new quality indicators of linguistic summaries to derive summaries via Kacprzyk and Zadrozny's (1994; 1995a; 1995b; 1996) fuzzy querying add-on. Finally, we present an implementation for deriving linguistic summaries of a sales database at a computer retailer, and show how the linguistic summaries obtained can be useful for supporting decisions of the business owner.