41 Result(s)
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Chapter and Conference Paper
A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models
In this paper, a data imputation method with a Support Vector Machine (SVM) is proposed to solve the issue of missing data in activity-based diaries. Here two SVM models are established to predict the missing ...
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Chapter and Conference Paper
Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis
The increasing of public transportation or bike use became an important issue in addressing economic, energy and environmental challenges. With this regard one of the most main tasks is to find and analyze the...
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Chapter and Conference Paper
Using Belief Degree-Distributed Fuzzy Cognitive Maps for Safety Culture Assessment
Safety Culture describes how safety issues are managed within an enterprise. In this paper we describe a prototype for safety culture assessment using Belief Degree Fuzzy Cognitive Maps. Our appr...
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Chapter and Conference Paper
Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling
Although the individuals’ transport behavioural modelling is a complex task, it has a notable social and economic impact. Thus, in this paper Fuzzy Cognitive Maps are explored to represent the behaviour and op...
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Chapter
Rough Sets Based Incremental Rule Acquisition in Set-Valued Information Systems
Set-valued information systems may evolve over time. How to acquire rules from updating information systems is vital in decision making. Rule acquisition from set-valued decision information systems needs both...
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Chapter
Using Belief Degree Distributed Fuzzy Cognitive Maps for Energy Policy Evaluation
Cognitive maps (CMs) were initially for graphical representation of uncertain causal reasoning. Later Kosko suggested Fuzzy Cognitive Maps (FCMs) in which users freely express their opinions in l...
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Chapter
Implications in Fuzzy Logic: Properties and a New Class
An implication in fuzzy logic, commonly defined as a two-place operation on the unit interval, is an extension of the classical binary implication. It plays important roles in both mathematical and applied sid...
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Chapter and Conference Paper
α-Satisfiability and α-Lock Resolution for a Lattice-Valued Logic LP(X)
This paper focuses on some automated reasoning issues for a kind of lattice-valued logic LP(X) based on lattice-valued algebra. Firstly some extended strategies from classical logic to LP(X) are investigated in o...
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Chapter and Conference Paper
Imputing Missing Values in Nuclear Safeguards Evaluation by a 2-Tuple Computational Model
Nuclear safeguards evaluation aims to verify that countries are not misusing nuclear programs for nuclear weapons purposes. Experts of the International Atomic Energy Agency (IAEA) evaluate many indicators by ...
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Chapter and Conference Paper
On Compactness and Consistency in Finite Lattice-Valued Propositional Logic
In this paper, we investigate the semantical theory of finite lattice-valued propositional logic based on finite lattice implication algebras. Based on the fuzzy set theory on a set of formulas, some propositi...
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Chapter and Conference Paper
Computational Intelligence Algorithms Analysis for Smart Grid Cyber Security
The cyber attack risks are threatening the smart grid security. Malicious worm could spread from meter to meter to take out power in a simulated attack. The North American Electric Reliability Corporation (NER...
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Chapter and Conference Paper
A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers
Conventional fault tree analysis in safety analysis of complex engineering systems calculates the occurrence probability of the top undesired event using probabilistic failure rates. However, it is often very ...
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Chapter and Conference Paper
On a New Class of Implications in Fuzzy Logic
We define and study a new class of implications determined only by a negation. We examine under which conditions the most popular eight axioms for implications are satisfied. We obtain the intersection of the ...
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Chapter
Preliminaries
This chapter aims to recall basic concepts of set theory and abstract algebra including set, relation, isomorphism, lattice, Boolean algebra and soft algebra, which will serve as the base of the remaining chap...
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Chapter
Fuzzy Inference and Fuzzy Control
The major subject of this chapter is fuzzy control, one of the most successful application areas of fuzzy set theory. Nowadays, many fuzzy products are visible in the market. Almost every fuzzy product is rela...
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Chapter
Fuzzy Relations
As known to us, a relation is a subset of the Cartesian product of two sets. A relation is naturally fuzzified while a subset is fuzzified. In fact, whether two objects have a relation is not always easy to de...
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Chapter
A Brief Introduction to Some Pure Mathematical Topics
As known to us, the theory of classical sets is the foundation on which modern mathematics rests. When sets are fuzzified, some traditional pure mathematical branches are accordingly generalized. In this chapt...
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Chapter
Basics of Fuzzy Sets
In this chapter, we focus on the introduction of fundamentals in fuzzy set theory, including some set-theoretic operations and their extensions, the decomposition of a fuzzy set, and mathematical representatio...
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Chapter
Extension Principle and Fuzzy Numbers
In the traditional multi-attribute decision analysis, there is a well-defined problem-solving model–the Simple Additive Weighting (SAW) method. This model can be formulated as follows. Let A1, A2, ..., A ...
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Chapter and Conference Paper
A New Decision Tree Construction Using the Cloud Transform and Rough Sets
Many present methods for dealing with the continuous data and missing values in information systems for constructing decision tree do not perform well in practical applications. In this paper, a new algorithm,...
