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Open AccessDifferential analysis of biological networks
In cancer research, the comparison of gene expression or DNA methylation networks inferred from healthy controls and patients can lead to the discovery of biological pathways associated to the disease. As a ca...
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Article
Learning and clustering of fuzzy cognitive maps for travel behaviour analysis
In modern society, more and more attention is given to the increase in public transportation or bike use. In this regard, one of the most important issues is to find and analyse the factors influencing car dep...
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Book
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Book and Conference Proceedings
Information Systems, E-learning, and Knowledge Management Research
4th World Summit on the Knowledge Society, WSKS 2011, Mykonos, Greece, September 21-23, 2011. Revised Selected Papers
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A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models
Activity-based approaches in transportation models aim at predicting which activities are conducted where, when, for how long, with whom, the transport mode involved and so on. An activity-based framework name...
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Chapter
A Linguistic-Valued Information Processing Method for Fuzzy Risk Analysis
Risk analysis is a crucial issue to be handled in disaster management. Fuzzy risk analysis, i.e., risk analysis model using fuzzy set theory aims to assess the risk of hazard event under incomplete or imprecis...
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Chapter
A Travel Behaviour Study Through Learning and Clustering of Fuzzy Cognitive Maps
Transport management and behaviour modelling appears in modern societies because of the importance for all social and economic processes. Using in this field advanced computer techniques like the Artificial In...
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Chapter
Methodological Challenges in Combining Quantitative and Qualitative Foresight Methods for Sustainable Energy Futures: The SEPIA Project
This chapter presents a reflection on the challenges of combining participatory fuzzy-set multi-criteria analysis (MCA) with narrative scenario building and energy modelling, in the context of the SEPIA projec...
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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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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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TOPSIS and its Extensions: Applications for Road Safety Performance Evaluation
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is one of the wellknown classical multi-criteria decision making (MCDM) techniques. In this chapter we illustrate the use of this method ...
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Article
Optimization algorithm for learning consistent belief rule-base from examples
A belief rule-based inference approach and its corresponding optimization algorithm deal with a rule-base with a belief structure called a belief rule base (BRB) that forms a basis in the inference mechanism. ...
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Article
A comparison study of fuzzy MADM methods in nuclear safeguards evaluation
Nuclear safeguards evaluation (NSE) is to verify that a State is living up to its international undertakings not to use nuclear programs for nuclear weapons purposes. The main issue in NSE is on the aggregatio...
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Article
Incremental learning optimization on knowledge discovery in dynamic business intelligent systems
As business information quickly varies with time, the extraction of knowledge from the related dynamically changing database is vital for business decision making. For an incremental learning optimization on k...
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Article
Modeling qualitative data in data envelopment analysis for composite indicators
Composite indicators (CIs) are useful tools for performance evaluation in policy analysis and public communication. Among various performance evaluation methodologies, data envelopment analysis (DEA) has recen...
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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...
