15,582 research outputs found
PENENTUAN BIDANG STUDI TUGAS AKHIR MAHASISWA TEKNIK INFORMATIKA PENS MENGGUNAKAN METODE FUZZY
Final project is one of duties that have to be done by university college student, especially in PENS-ITS, as a condition to graduate. But, there are many students that get difficulties in finishing their final project. That can be caused by their capability on final project specification that they're working on. So that, it's needed an application that can help students to determine their final project specification based on their capability. This Final Project discuss about fuzzy methods to determine Final Project specification for student of Informatics Engineering PENS-ITS based on their interest and ?lectures? values. Each specification has lectures itself and those lectures that will be the attributes of the data in this system. Fuzzy method used is the Fuzzy Sugeno. Fuzzy methods are used to perform fuzzification of data that formed the membership value. Membership value is performed or the determination of rules of inferenci. Inference is to find the highest value of the fuzzification process. Composition process is a combination of the outputs of all rules or inference. The result of the composition and then perform defuzzification process data. Defuzzification is the final process that uses max method by taking the highest index will be chosen field of TA. This application was built using PHP and implemented in a web form that can be easily accessed by the user. Aplication can help students determine areas of study TA base on values and interests with the results of studies in the field recommend.Test data generation D4 2006 0:44 percentage of appropriate and inappropriate 0:56 and 0:53 D4 force in 2007 the percentage of appropriate and inappropriate 0:47. Keyword: Fuzzy Sugeno, fuzzification, Defuzzification, Inference, Composition, PHP
KEMNAD: A Knowledge Engineering Methodology for Negotiating Agent Development
Automated negotiation is widely applied in various domains. However, the development of such systems is a complex knowledge and software engineering task. So, a methodology there will be helpful. Unfortunately, none of existing methodologies can offer sufficient, detailed support for such system development. To remove this limitation, this paper develops a new methodology made up of: (1) a generic framework (architectural pattern) for the main task, and (2) a library of modular and reusable design pattern (templates) of subtasks. Thus, it is much easier to build a negotiating agent by assembling these standardised components rather than reinventing the wheel each time. Moreover, since these patterns are identified from a wide variety of existing negotiating agents(especially high impact ones), they can also improve the quality of the final systems developed. In addition, our methodology reveals what types of domain knowledge need to be input into the negotiating agents. This in turn provides a basis for developing techniques to acquire the domain knowledge from human users. This is important because negotiation agents act faithfully on the behalf of their human users and thus the relevant domain knowledge must be acquired from the human users. Finally, our methodology is validated with one high impact system
Dynamics of rural water supply in coastal Kerala : a sustainable development view
This paper examines empirically within sustainable development
framework the dynamics of coverage in rural drinking water supply of
180 demand-driven schemes from Malappuram, predominantly a coastal
district of Kerala State. The methodology for the analysis comprised (i)
multidimensional specification of sustainability in terms of attributes
relating to source, technology, quality, finance, institution and hygiene
behaviour and (ii) estimation of the degree of sustainability using models
of vagueness. Two methods of âvaguenessâ viz. âsupervaluationismâ and
âfuzzy inference systemâ were applied to identify systems that are at or
below the sustainability line. Results show that sustainability due to source
and quality is lower in schemes from non-costal regions, whereas
sustainability in dimensions of finance, institution, and hygiene behaviour
is lower in coastal regions. Empirical analysis of âmarginal systemsâ
indicates that gender participation; female education and income have
favourable impact on sustainability of schemes in rural areas.
Key words: Sustainable development, Vagueness, Supervaluationism,
Degree theory, Fuzzy inference, Rural drinking water
supply.
JEL Classification: Q56
Derivation of diagnostic models based on formalized process knowledge
© IFAC.Industrial systems are vulnerable to faults. Early and accurate detection and diagnosis in production systems can minimize down-time, increase the safety of the plant operation, and reduce manufacturing costs. Knowledge- and model-based approaches to automated fault detection and diagnosis have been demonstrated to be suitable for fault cause analysis within a broad range of industrial processes and research case studies. However, the implementation of these methods demands a complex and error-prone development phase, especially due to the extensive efforts required during the derivation of models and their respective validation. In an effort to reduce such modeling complexity, this paper presents a structured causal modeling approach to supporting the derivation of diagnostic models based on formalized process knowledge. The method described herein exploits the Formalized Process Description Guideline VDI/VDE 3682 to establish causal relations among key-process variables, develops an extension of the Signed Digraph model combined with the use of fuzzy set theory to allow more accurate causality descriptions, and proposes a representation of the resulting diagnostic model in CAEX/AutomationML targeting dynamic data access, portability, and seamless information exchange
On the measurement of sustainability of rural water supply in India: A SupervaluationistâDegree Theory approach
The paper proposes an empirical methodology for understanding the nature and behavior of Sustainable Development as a vague and multidimensional concept by a case study of participatory and demand determined Rural Drinking water Supply systems in India. It combines for the first time, two of the most influential models â âSupervaluationismâ and âDegree Theoryâ- on the measurement of âVaguenessâ, for timely public intervention in reversing the process of Un-sustainability. Analysis clearly brings out the role of institutional, financial and environmental factors that should be part of Public Policy, for ensuring sustainability of potable water supplysustainability, supervaluationism, degree theory
Designing Software Architectures As a Composition of Specializations of Knowledge Domains
This paper summarizes our experimental research and software development activities in designing robust, adaptable and reusable software architectures. Several years ago, based on our previous experiences in object-oriented software development, we made the following assumption: âA software architecture should be a composition of specializations of knowledge domainsâ. To verify this assumption we carried out three pilot projects. In addition to the application of some popular domain analysis techniques such as use cases, we identified the invariant compositional structures of the software architectures and the related knowledge domains. Knowledge domains define the boundaries of the adaptability and reusability capabilities of software systems. Next, knowledge domains were mapped to object-oriented concepts. We experienced that some aspects of knowledge could not be directly modeled in terms of object-oriented concepts. In this paper we describe our approach, the pilot projects, the experienced problems and the adopted solutions for realizing the software architectures. We conclude the paper with the lessons that we learned from this experience
Extending FuzAtAnalyzer to approach the management of classical negation
FuzAtAnalyzer was conceived as a Java framework which goes beyond of classical tools in formal concept analysis. Specifically, it successfully incorporated the management of uncertainty by means of methods and tools from the area of fuzzy formal concept analysis. One limitation of formal concept analysis is that they only consider the presence of properties in the objects (positive attributes) as much in fuzzy as in crisp case.
In this paper, a first step in the incorporation of negations is presented. Our aim is the treatment of the absence of properties (negative attributes). Specifically, we extend the framework by including specific tools for mining knowledge combining crisp positive and negative attributes.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂa Tech
- âŠ