|Total results: 767||
|Exploring Innovative and Successful Applications of Soft Computing
Antonio D. Masegosa, Pablo J. Villacorta, Carlos Cruz-Corona, M. Socorro García-Cascales, María T. Lamata, José L. Verdegay.
The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in a variety of fields.
Exploring Innovative and Successful Applications of Soft Computing highlights the applications...
Global Trends in Intelligent Computing Research and Development
B.K. Tripathy, D.P. Acharjya.
As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data.
Global Trends in Intelligent Computing Research and...
A Problem of Ecological Dynamic Logistics
José M. Cadenas, María del Carmen Garrido, Raquel Martínez, Enrique Muñoz.
Companies have to be competitive to survive, offering their customers a more customized and complete service. Moreover, society is increasingly more aware of the need to solve problems in an ecological way trying to reduce pollution/environmental impact. Furthermore, when we try to solve management...
Fuzzy Techniques for Improving Satisfaction in Economic Decisions
Clara Calvo, Carlos Ivorra, Vicente Liern.
The authors use fuzzy set theory to improve classical decision-making problems by incorporating the inherent vagueness in decision-makers’ preferences into the model. They specifically study two representative models: the p-median problem and the portfolio selection problem. The first one is a location...
A Feature Selection Approach in the Study of Azorean Proverbs
Luís Cavique, Armando B. Mendes, Matthias Funk, Jorge M. A. Santos.
A paremiologic (study of proverbs) case is presented as part of a wider project based on data collected among the Azorean population. Given the considerable distance between the Azores islands, the authors present the hypothesis that there are significant differences in the proverbs from each island...
Soft Computing in the Quality of Services Evaluation
María T. Lamata, Daymi Morales Vega.
The evaluation of the Quality of Services (QoS) has been a topic of particular interest to many authors. In the literature, many works have been developed where different models are proposed to assess the QoS in different environments. These models evaluate the QoS from a set of criteria, which may...
Modeling and Prediction of Time-Varying Environmental Data Using Advanced Bayesian Methods
Majdi Mansouri, Benjamin Dumont, Marie-France Destain.
The problem of state/parameter estimation represents a key issue in crop models, which are nonlinear, non-Gaussian, and include a large number of parameters. The prediction errors are often important due to uncertainties in the equations, the input variables, and the parameters. The measurements needed...
Fuzzy Modeling for Manpower Scheduling
Michael Mutingi, Charles Mbohwa.
Fuzzy theory is an important phenomenon in manpower scheduling, especially in the context where managerial and employee objectives are imprecise and, worst of all, conflicting. In such fuzzy environments, developing robust tools for addressing the fuzzy nature of the problem is imperative. Decision...
Group Genetic Algorithm for Heterogeneous Vehicle Routing
Cost-efficient transportation is a central concern in the transportation and logistics industry. In particular, the Heterogeneous Vehicle Routing Problem (HVRP) has become a major optimization problem in supply chains involved with delivery (collection) of goods to (from) customers. In this problem...
Fuzzy Nonlinear Optimization Model to Improve Intermittent Demand Forecasting
Raúl Poler, Josefa Mula, Manuel Díaz-Madroñero, Mariano Jiménez.
This chapter proposes a fuzzy nonlinear programming model for intermittent demand forecasting purposes. The authors formulated the Syntetos and Boylan (SB) forecasting method as a crisp nonlinear programming model. They also attempted to improve it with a new fuzzy nonlinear programming formulation....
Decision Criteria for Optimal Location of Wind Farms
Juan Miguel Sánchez-Lozano, M. Socorro García-Cascales, María T. Lamata, Carlos Sierra.
The objective of the present chapter is to obtain the weights of the criteria that influences a decision problem of vital necessity to the current energy perspectives, which is the optimal localisation of wind farms. The location problem posed presents a hierarchical structure on three levels. The...
Bipolarity in Decision Analysis: A Way to Cope with Human Judgment
Ayeley P. Tchangani.
Decision analysis, the mechanism by which a final decision is reached in terms of choice (choosing an alternative or a subset of alternatives from a large set of alternatives), ranking (ranking alternatives of a set from the worst to the best), classification (assigning alternatives to some known...
A Soft Computing-Based Idea Applied to the Truck and Trailer Routing Problem
Isis Torres Pérez, Alejandro Rosete Suárez, Carlos Cruz-Corona, José L. Verdegay.
Techniques based on Soft Computing are useful to model and solve real-world problems where decision makers use subjective knowledge or linguistic information when making decisions, measuring parameters, objectives, and constraints, and even when modeling the problem. In many problems in transport and...
An Integrated Bi-Objective Reverse Logistics Network Design for Remanufacturing
Ali Zolghadr Shojai, Jamal Shahrabi, Masoud Jenabi.
Growing environmental and economical concern has led to increasing attention towards management of product return flows. An effective and efficient reverse logistics network enables companies to gain more profit and customer satisfaction. Consequently, the reverse logistics network design problem has...
Interval Mathematics as a Potential Weapon against Uncertainty
This chapter is devoted to introducing the theories of interval algebra to people who are interested in applying the interval methods to uncertainty analysis in science and engineering. In view of this purpose, we shall introduce the key concepts of the algebraic theories of intervals that form the...
Uncertainty Modeling Using Expert’s Knowledge as Evidence
In this paper we discuss the uncertainty modeling using evidence theory. In practice, very often availability of data is incomplete in the sense that sufficient amount of data which is required may not be possible to collect. Therefore, uncertainty modeling in that case with this incomplete data set is...
Evidence-Based Uncertainty Modeling
Evidence is the essence of any decision making process. However in any situation the evidences that we come across are usually not complete. Absence of complete evidence results in uncertainty, and uncertainty leads to belief. The framework of Dempster-Shafer theory which is based on the notion of...
Hybrid Set Structures for Soft Computing
Sunil Jacob John, Babitha KV.
A Major problem in achieving an effective computational systems is the presence of inherent uncertainty in the computational problem itself. Among various techniques proposed to address this, the technique of soft computing is of significant interest. Further, Generalized set structures like fuzzy...
Source and m-Source Distances of Fuzzy Numbers and their Properties
In many applications of fuzzy logic and fuzzy mathematics we need (or it is better) to work with the same fuzzy numbers. In this chapter we present source distance and source distance between two fuzzy numbers. Also some properties of parametric -degree polynomial approximation operator of fuzzy...
Construction of Normal Fuzzy Numbers using the Mathematics of Partial Presence
Hemanta K. Baruah.
Every normal law of fuzziness can be expressed in terms of two laws of randomness defined in the measure theoretic sense. Indeed, two probability measures are necessary and sufficient to define a normal law of fuzziness. Hence, the measure theoretic matters with reference to fuzziness have to be...
Numerical Solution of Fuzzy Differential Equations and its Applications
S. Chakraverty, Smita Tapaswini.
Theory of fuzzy differential equations is the important new developments to model various science and engineering problems of uncertain nature because this theory represents a natural way to model dynamical systems under uncertainty. Since, it is too difficult to obtain the exact solution of fuzzy...