Jose Luis Verdegay

• Professor
• University of Granada

Performance evaluation is ubiquitous nowadays. A fundamental approach to assessing alternatives (e.g., students, employees, universities, countries) involves weighting criteria to calculate their final scores. Determining these weights is crucial, especially when alternatives are evaluated individually and without comparison with others. In such ca...

The cornerstone of the 2030 Agenda for Sustainable Development are the 17 Sustainable development goals (SDGs). These goals are measured through 109 indicators and, in very basic terms, the degree of achievement of the 17 SDGs for a country, the so called SDG Index, is calculated with a weighted sum without taking into account any priorities among...

Tourist trip design is a fast-growing area of research. Tourist interest, budget, travel style, safety, and the existence of travelers with special needs (for example, wheelchair accessibility) are some of the elements to consider for obtaining personalized routes. Including these elements in a single mathematical model can considerably complicate...

Automated Decision-Making Systems (ADS) have become pervasive across various fields, activities, and occupations, to enhance performance. However, this widespread adoption introduces potential risks, including the misuse of ADS. Such misuse may manifest when ADS is employed in situations where it is unnecessary or when essential requirements, condi...

Introducción: En la localización de instalaciones y la orientación para itinerarios turísticos existen parámetros que podrían cambiar en el tiempo. Actualmente, los problemas de localización de instalaciones no modelan el dinamismo en la disponibilidad de los tipos de instalaciones. Por otro lado, en la mayoría de los problemas de orientación se as...

The traveling salesman problem is notorious not only for its significance in theoretical computer science but also for the vast number of real-world problems it is involved in. In this paper, we propose a branch and bound method and a 2-opt method for solving traveling salesman problems, in situations where pairwise distances, costs, or travel time...

There is a vast number of contributions in the literature dealing with problems for which they explicitly consider the imprecision in the inputs while keeping the output in crisp terms. Moreover, as the complexity in the representation of imprecision increases (for example, from triangular fuzzy numbers to type-2 fuzzy sets), a higher effort is req...

In this paper we propose a method for the evaluation of university academic performance from a multi-criteria decision making perspective, and with partial information on the preference of the criteria. In our model, these criteria are the partial evaluations contemplated by a given subject, while the solutions or alternatives to the problem are th...

Decisions made in areas such as economics, engineering, industry, and medical sciences are usually based on finding and interpreting solutions to optimization problems. When modeling an optimization problem, it should be clear that people do not make decisions in a vacuum or in isolation from the reality. So, there is always a decision-making conte...

Effective decision-making requires well-founded optimization models and algorithms tolerant of real-world uncertainties. In the mid-1980s, intuitionistic fuzzy set theory emerged as another mathematical framework to deal with the uncertainty of subjective judgments and made it possible to represent hesitancy in a decision-making problem. Nowadays,...

Harvesting model solved using Lukasiewicz's connectives with context included a priori

Harvesting model solved using simulation and Zadeh's connectives with context included a posteriori

Harvesting model solved using simulation and Lukasiewicz's connectives with context included a posteriori

Harvesting model solved using Zadeh's connectives with context included a priori

This paper is to integrate among solid transportation problem, budget constraints and carbon emission with probable maximum profit. The range of air pollution and climate change are effected by CO2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrs...

Since the last decade, transportation and distribution systems have experienced significant growth and development. Designing distribution systems utilizing electric vehicles is one of the main issues in this field. Accordingly, this research provides a novel solution method for a two-echelon distribution system using electric vehicles. At the firs...

The Berth Allocation Problem (BAP) is an important seaside problem in port logistics, which involves the determination of berthing times and positions of arriving vessels in a wharf. Most studies have considered that vessels arrival and handling times are known fixed quantities available to wharves operators beforehand. However, due to many uncontr...

The literature on fuzzy variable linear programming (FVLP) and fuzzy number linear programming (FNLP) is prolific in terms of the number of available solution methods. In FVLP problems, only the decision variables and right-hand side values of the constraints are fuzzy numbers. In FNLP problems, except for the decision variables, all parameters are...

The tourist trip design problem (TTDP) is a well-known extension of the orienteering problem, where the objective is to obtain an itinerary of points of interest for a tourist that maximizes his/her level of interest. In several situations, the interest of a point depends on when the point is visited, and the tourist may delay the arrival to a poin...

Los computadores procesan información y toman decisiones. Hasta hace poco, las decisiones que tomaban no eran complejas, pero debido a los incesantes avances tecnológicos que se producen, los sistemas basados en inteligencia artificial están logrando niveles de competencia en la toma de decisiones que en muchos contextos igualan o superan a las per...

p>Computers process information and make decisions. Until recently, the decisions they made were not complex, but due to the incessant technological advances that are taking place, systems based on artificial intelligence are achieving levels of competence in decision-making that in many contexts equal or surpass those of humans. These are autonomo...

p>Computers process information and make decisions. Until recently, the decisions they made were not complex, but due to the incessant technological advances that are taking place, systems based on artificial intelligence are achieving levels of competence in decision-making that in many contexts equal or surpass those of humans. These are autonomo...

Recently fuzzy interval flexible linear programs have attracted many interests. These models are an extension of the classical linear programming which deal with crisp parameters. However, in most of the real-world applications, the nature of the parameters of the decision-making problems is generally imprecise. Such uncertainties can lead to incre...

This paper is to integrate among solid transportation problem, budget constraints and carbon emission with probable maximum profit. The limits of air pollution and climate variation are solely dependent by exerting CO 2 gas and rest greenhouse gases due to myriad transportation system. Henceforth, it is our apt mission to minimize carbon emission f...

During past few decades, fuzzy decision is an important attention in the areas of science, engineering, economic system, business, etc. To solve day-to-day problem, researchers use fuzzy data in transportation problem for presenting the uncontrollable factors; and most of multi-objective transportation problems are solved using goal programming. Ho...

To build Intelligent Systems that act in daily life like people do, it is very important to know in depth the mechanisms that govern the decision processes that human beings follow. The context in which a decision process is developed is a key aspect that needs to be known in depth. In this paper, this aspect is defined and studied. Accordingly the...

The Berth Allocation (BA) problem is an important problem in port logistics. It aims at finding optimal berthing times and positions of arriving vessels in a wharf subject to physical constraints. The optimisation criteria in the BA problem are diverse and respond to specific interests of vessels and wharves operators. Furthermore, although the BA...

Fuzzy Linear Programming (FLP) has addressed the increasing complexity of real-world decision-making problems that arise in uncertain and ever-changing environments since its introduction in the 1970s. Built upon the Fuzzy Sets theory and classical Linear Programming (LP) theory, FLP encompasses an extensive area of theoretical research and algorit...

Traditional linear regression analysis aims at finding a linear functional relationship between predictor and response variables based on available data of a given system, and, when this relationship is found, it is used to predict the future behaviour of the system. The difference between the observed and predicted data is supposed to be due to me...

In recent decades, there has been increased interest among both transportation researchers and practitioners in exploring the application of artificial intelligence (AI) paradigms to address the real-life problems in order to improve the efficiency, safety and environmental compatibility of transportation systems. In this paper, our main interest i...

Linear ranking functions are often used to transform fuzzy multiobjective linear programming (MOLP) problems into crisp ones. The crisp MOLP problems are then solved by using classical methods (eg, weighted sum, epsilon‐constraint, etc), or fuzzy ones based on Bellman and Zadeh's decision‐making model. In this paper, we show that this transformatio...

This last chapter has the goal of demonstrating the proposal made in Chaps. 6 and 7. The demonstration version presented here has been developed in an Amazon Linux 2 AMI instance, and Shiny and RStudio were used for its development. An operational version that can be used for academic and/or professional purposes will be available at the URLs www.m...

The literature on Futures Studies shows the need to give the process of inference of the future, guidelines that help to face turbulence and recognize the emerging properties that belong to the dynamics of complex social systems. These systems are always in a state of non-equilibrium. Therefore, from a prospective point of view, a system must have...

Long-term strategic reflection is a process that faces several challenges. Among them the uncertainty, which may be due to a multitude of reasons. The literature covers a wide range of contributions with methods and models focused on dealing with uncertainty in terms of optimization of complex systems and little on dealing with conjecture processes...

The process of long-term reflection involves a wide and deep inference activity aimed at recognizing the most convenient future for the studied system, in contrast to what deterministic models based on trends and the intensive processing of historical information offer, which focus on the identification of certainties. To reduce the uncertainty tha...

This chapter offers a detailed presentation of the algorithms and the logic proposed in the previous chapters on the model called Meta-Prospective. The interdependence and conditions of use regarding this proposal are discussed next. The topics at hand include the use of linguistic variables, the process or identifying endo- and exo-signals, the pr...

The field of Futures Studies has been sculpted for 2500 years. Heraclitus, Plato, Aristotle, Parmenides, from ancient times, in addition to Jacques Bernoulli, Von Clausewitz and Von Moltke and many other authors have an invaluable intellectual contribution to the development of the field of Future Studies. The developments during the nineteenth and...

The two experimental applications that will be presented in this chapter allow linking the strategic design of the futures with the ideas of Soft Computing, which has the ability to move between the qualitative and the quantitative. The development of experimental applications highlights the value of a triad: anticipation + learning + adaptation, w...

The prospective approach introduced the possibility of recognizing several possible states in the next time interval, because it does not reduce the dynamics of change to a simple rational choice, as is the case when reflections on the future focus only on the identification or extrapolation of trends. Thus, the prospective provides the basis for l...

This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and...

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufactu...

Sustainable development is treated as the achievement of continued economic development without detriment to environmental and natural resources. Now-a-days, in a competitive market scenario, most of us are willing to pay less and to gain more in quickly without considering negative externalities for the environment and quality of life for future g...

TOPSIS (Technique of Order Preference by Similarity to Ideal Solution) is a popular decision-making technique used to rank a discrete set of alternatives based on the premise that a good alternative should simultaneously have the shortest distance from a positive ideal solution and the farthest distance from a negative ideal solution. Sometimes, am...

TOPSIS (Technique of Order Preference by Similarity to Ideal Solution) is a popular decision-making technique used to rank a discrete set of alternatives based on the premise that a good alternative should simultaneously have the shortest distance from a positive ideal solution and the farthest distance from a negative ideal solution. Sometimes, am...

The use of Information Technologies (IT) has today become an added value for appropriate decision making. This has contributed to improving the companies’ strategies in the market. However, the full potential of these technologies in the relevant field of Archaeology has yet to be fully exploited. To contribute to reducing this gap, this paper pres...

Fuzzy linear programming (FLP) problems with a wide varietyof applications in sciencesand engineering allow working with imprecise data and constraints, leading to more realistic models. The main contribution of this study is to deal with the formulation of a kind of FLP problems, known as bounded interval‐valued fuzzy numbers linear programming (B...

Recently fuzzy interval flexible linear programs have attracted many interests. These models are an extension of the classical linear programming which deal with crisp parameters. However, in most of the real-world applications, the nature of the parameters of the decision-making problems are generally imprecise. Such uncertainties can lead to incr...

In many life situations we are in the presence of decision making problems, therefore it becomes necessary to study different theories, methods and tools to solve these kinds of problems as efficiently as possible. In this paper, we describe the elements that integrate a decision making model, as well as show some of the compensatory multicriteria...

When we deal with problems of decision making where we need to give an order of alternatives and the rewards (number of points earned in a race) are not associated with the criteria, but with positions, it makes sense to deal with ordered weighted averaging (OWA) operators. Within the class of OWA operators we can consider those that are based on a...

There are numerous compensatory multicriteria decision methods that are used for decision making. Among them, we consider the TOPSIS method for its rationality and easy applicability. This method is based on the concept that the alternative chosen should be the one whose distance to the positive ideal solution is smaller and simultaneously, the dis...

This chapter presents a spatial decision support system called FuzzyCovering, which is designed to support the decision-making process related to facility location problems. Different components that facilitate modeling, the solution and results display, specifically about covering location problems are integrated in FuzzyCovering. FuzzyCovering al...

In this chapter, the non-simplex based approaches for solving several kinds of LPPs with fuzzy parameters are explored. In such approaches, the fuzzy constraints are first converted to crisp ones based on arithmetic operations on fuzzy numbers and then the standard methods are used for solving the crisp problems. Such approaches increase the number...

Fuzzy sets as defined by Zadeh (Inf. Con. 8(3):338–353, 1965 [1]) provide a useful, effective and operative tool for handling imprecise data. It not only provides a powerful representation of measurement uncertainty, but also gives a meaningful representation of vague concepts expressed in natural language. The purpose of this chapter is to review...

The transportation problem (TP) is an important network-structured LP problem that arises in several contexts and can be applied to a wide variety of situations, such as scheduling, production, investment, deciding plant location and inventory control. The central concept in the TP is to determine the minimum total transportation cost of a commodit...

Linear programming (LP) is a mathematical technique for the optimal allocation of scarce resources to several competing activities on the basis of given criteria of optimality. In conventional LP problems, it is assumed that the data have precise values. However, the observed values of the data in real-life problems are often imprecise because of i...

The aim of this chapter is to study the simplex based approaches for solving several kinds of LP problems with fuzzy parameters. In the LP problems with fuzzy parameters that can be solved by the use of simplex approaches, some or all parameters of the problems under consideration may be fuzzy numbers and the inequalities may be interpreted in term...

The software impacts every day in all aspects of our life. Therefore it is essential to assess the impact on the sustainability of any aspect of its application. A conscious and responsible use of resources is needed. One feature that is associated with the term sustainable software is the usability. It is very usual to define usability as a softwa...

In this paper a novel approach to design data driven based fault diagnosis systems using fuzzy clustering techniques is presented. In the proposal, the data was first pre-processed using the Noise Clustering algorithm. This permits to eliminate outliers and reduce the confusion as a first part of the classification process. Secondly, the Kernel Fuz...

The importance that decision-making problems and optimisation problems have today in all aspects of life is beyond all doubt. Despite that importance, both problems tend to be thought of as following different routes, when they have, in fact, a “symbiotic” relation. Here, we consider the different decision problems that arise when different kinds o...

https://www.morebooks.de/store/es/book/making-decisions-in-the-presence-of-adversaries:-models-and-results/isbn/978-3-330-04443-2

Recently, the Truck and Trailer Routing Problem (TTRP) has been tackled with uncertainty in the coefficients of constrains. In order to solve this problem it is necessary to use methods for comparison fuzzy numbers. The problem of ordering fuzzy quantities has been addressed by many authors and there are many indices to perform this task. However,...

An inherent limitation of Linear Programming is the need to know precisely all the conditions concerning the problem being modeled. This is not always possible as there exist uncertainty situations which require a more suitable approach. Fuzzy Linear Programming allows working with imprecise data and constraints, leading to more realistic models. D...

Export Date: 24 April 2017 , References: Zadeh, L.A., Correction. E-mail privado de Lotfi A. Zadeh al (2016) Berkeley Initiative in Soft Computing (BISC) Group, 2016. , 10 de Julio de; Kreinovich, V., We need better coordination between mathematicians and applied folks in fuzzy area (2016) Berkeley Initiative in Soft Computing (BISC) Group, 2016....

The global incidence of dengue has grown dramatically in recent decades and about half of the world's population is now at risk. The proper deployment of mobile health teams is one of the tools available to control the mosquitoes population responsible of the illness transmission. The team deployment problem can be casted as a maximal coverage loca...

In this paper, the literature associated with the covering location problems addressing uncertainty under a fuzzy approach is reviewed. Specifically, the papers related to the most commonly applied models such as set covering location problem, maximal covering location problem, and hub covering location problem are examined. An annotated bibliograp...

Cited By :1 , Correspondence Address: Verdegay, J.L.; Dpto. Ciencias de la Computacion E Inteligencia Artificial, Universidad de GranadaSpain; email: verdegay@decsai.ugr.es , Export Date: 24 April 2017 , Funding details: P11-TIC-8001, FEDER, Federación Española de Enfermedades Raras , Funding details: TIN2014-55024-P, FEDER, Federación Española...

Several real-world situations can be modeled as maximal covering location problem (MCLP), which is focused on finding the best locations for a certain number of facilities that maximizes the coverage of demand nodes located within a given exact coverage distance (or travel time). In a real scenario, such distance as well as other elements of the lo...

Today, Renewable Energy Sources (RES) are a key pillar to achieving sustainable development, which is the main reason why energy projects are being carried out not only in developed countries but also in many emerging countries. Since the technical and financial risk remains a major barrier to financing renewable energy projects, several mechanisms...

Three-dimensional terrain reconstruction from 2D aerial images is a problem of utmost importance due its wide level of applications. It is relevant in the context of intelligent systems for disaster managements (for example to analyze a flooded area), soil analysis, earthquake crisis, civil engineering, urban planning, surveillance and defense rese...

Correspondence Address: Torres, I.; Facultad de Ingeniería Informática, Instituto Superior Politécnico José Antonio EcheverríaCuba; email: itorres@ceis.cujae.edu.cu , Export Date: 24 April 2017 , References: Baykasoglu, A., Owen, S., Gindy, N., A taboo search based approach to find the Pareto optimal set in multiple objective optimization (1999)...

Correspondence Address: García-Cascales, M.S.; Dpto. De Electrónica, Tecnología de Computadoras Y Proyectos, Universidad de Politécnica de CartagenaSpain , Export Date: 24 April 2017 , Funding details: FEDER, Federación Española de Enfermedades Raras , References: Arrhenius, S., On the influence of carbonic acid in the air upon the temperature o...

One of the first decisions that must be taken when hosting a photovoltaic solar farm to pour the energy generated into the grid is to choose a proper location (towns, existing infrastructure, etc.). The legislative framework that is applicable must also be considered since it involves a large number of restrictions (protected areas, streams and wat...

Correspondence Address: Ebrahimnejad, A.; Department of Mathematics, Qaemshahr Branch, Islamic Azad UniversityIran; email: aemarzoun@gmail.com , Export Date: 24 April 2017 , References: Bector, C.R., Chandra, S., Fuzzy mathematical programming and fuzzy matrix games (2005) Studies in Fuzziness and Soft Computing, 169. , Springer, Berlin; Bellman...

Multiple criteria decision making methods provide a useful tool to support decision making. To date, different methods have been developed using different approaches. In particular, the conception used by the TOPSIS and VIKOR methods identifies the best alternative based on the positive and the negative ideal solutions. In this paper, a new method...

Fuzzy Linear Programming is among the best and most studied topics in the Fuzzy Sets and Systems area. In this paper, the author describes the main developments, results and solution methods achieved in this topic throughout the last 35 years, from a personal point of view. Short descriptions on different Fuzzy Linear Programming problems are provi...

The close-open vehicle routing problem is a realistic variant of the “classical” vehicle routing problem where the routes can be opened and closed, i.e. all the vehicles are not required to return to the depot after completing their service. This variant is a planning model that is a standard practice in business nowadays. Companies are contracting...

The Truck and Trailer Routing Problem consists of a heterogeneous fleet composed of trucks and trailers to serve a set of customers. This problem has been solved previously considering accurate data available. But in a real-world the available knowledge about some data and parameters involves a vague nature. In this study, we propose the applicatio...

The Truck and Trailer Routing Problem, TTRP, is an extension of the well-known Vehicle Routing Problem. This problem consist of a heterogeneous fleet composed of trucks and trailers to serve a set of customers. Most of models used in the literature assume that the data available are accurate, but in many practical problems the available knowledge a...

This book presents a comprehensive collection of the latest and most significant research advances and applications in the field of fuzzy logic. It covers fuzzy structures, rules, operations and mathematical formalisms, as well as important applications of fuzzy logic in a number of fields, like decision-making, environmental prediction and prevent...

In this paper, a review of decision-making models based on the rough set theory is presented. The use of these techniques allows for the presence of uncertainty in computer models that are developed for decision making, and to formulate the decision-making models using the experiences of previous decisions made. Since the formulation of these model...

Regression analysis, which includes any techniques for modeling and analyzing several variables, is a statistical tool that focuses in finding a relationship between a dependent variable and one or more independent variables. When this relationship is found, some values of parameters are determined which help a function to best fit in a set of data...

Regression analysis, which includes any techniques for modeling and analyzing several variables, is a statistical tool that focuses in finding a relationship between a dependent variable and one or more independent variables. When this relationship is found, some values of parameters are determined which help a function to best fit in a set of data...