Jose pelaez | Universidad de Málaga (original) (raw)

Papers by Jose pelaez

Mathematical Problems in Engineering, 2017

Presently, there exists an important need for lighter and more resistant structures, with reduced... more Presently, there exists an important need for lighter and more resistant structures, with reduced manufacturing costs. Laminated polymers are materials which respond to these new demands. Main difficulties of the design process of a composite laminate include the necessity to design both the geometry of the element and the material configuration itself and, therefore, the possibilities of creating composite materials are almost unlimited. Many techniques, ranging from linear programming or finite elements to computational intelligence, have been used to solve this type of problems. The aim of this work is to show that more effective and dynamic methods to solve this type of problems are obtained by using certain techniques based on systematic exploitation of knowledge of the problem, together with the combination of metaheuristics based on population as well as on local search. With this objective, a memetic algorithm has been designed and compared with the main heuristics used in t...

International Journal of Intelligent Systems, 2018

This paper focuses on the aggregation operations in the group decision-making model based on the ... more This paper focuses on the aggregation operations in the group decision-making model based on the concept of majority opinion. The weightedselective aggregated majority-OWA (WSAM-OWA) operator is proposed as an extension of the SAM-OWA operator, where the reliability of information sources is considered in the formulation. The WSAM-OWA operator is generalized to the quantified WSAM-OWA operator by including the concept of linguistic quantifier, mainly for the group fusion strategy. The QWSAM-IOWA operator, with an ordering step, is introduced to the individual fusion strategy. The proposed aggregation operators are then implemented for the case of alternative scheme of heterogeneous group decision analysis. The heterogeneous group includes the consensus of experts with respect to each specific criterion. The exhaustive multi-criteria group decision-making model under the linguistic domain, which consists of two-stage aggregation processes, is developed in order to fuse the experts' judgments and to aggregate the criteria. The model provides greater flexibility when analyzing the decision alternatives with a tolerance that considers the majority of experts and the attitudinal character of experts. A selection of investment problem is given to demonstrate the applicability of the developed model.

2016 XLII Latin American Computing Conference (CLEI), 2016

In multi-criteria decision-making processes, a set of criteria that can act independently or have... more In multi-criteria decision-making processes, a set of criteria that can act independently or have some kind of relation between them are considered. When this latter appears, the process cannot be a simple problem due to complexity to model such synergy relations. To deal with these issues, a Choquet integral based method has been developed to determine the most appropriate ranking of alternatives. Therefore, a fuzzy measure that models considerations of an expert in the problem domain must be identified. The proposed model is a novel and efficient algorithm for determining a non-additive fuzzy measure guided by linguistic attributes. Finally, an illustrative example and a comparison with other aggregation operators is presented.

Symmetry, 2021

Sovereign debt and currencies play an increasingly influential role in the development of any cou... more Sovereign debt and currencies play an increasingly influential role in the development of any country, given the need to obtain financing and establish international relations. A recurring theme in the literature on financial crises has been the prediction of sovereign debt and currency crises due to their extreme importance in international economic activity. Nevertheless, the limitations of the existing models are related to accuracy and the literature calls for more investigation on the subject and lacks geographic diversity in the samples used. This article presents new models for the prediction of sovereign debt and currency crises, using various computational techniques, which increase their precision. Also, these models present experiences with a wide global sample of the main geographical world zones, such as Africa and the Middle East, Latin America, Asia, Europe, and globally. Our models demonstrate the superiority of computational techniques concerning statistics in terms...

Sensors (Basel, Switzerland), 2021

The visual design elements and principles (VDEPs) can trigger behavioural changes and emotions in... more The visual design elements and principles (VDEPs) can trigger behavioural changes and emotions in the viewer, but their effects on brain activity are not clearly understood. In this paper, we explore the relationships between brain activity and colour (cold/warm), light (dark/bright), movement (fast/slow), and balance (symmetrical/asymmetrical) VDEPs. We used the public DEAP dataset with the electroencephalogram signals of 32 participants recorded while watching music videos. The characteristic VDEPs for each second of the videos were manually tagged for by a team of two visual communication experts. Results show that variations in the light/value, rhythm/movement, and balance in the music video sequences produce a statistically significant effect over the mean absolute power of the Delta, Theta, Alpha, Beta, and Gamma EEG bands (p < 0.05). Furthermore, we trained a Convolutional Neural Network that successfully predicts the VDEP of a video fragment solely by the EEG signal of th...

Computational Intelligence in Decision and Control, 2008

ABSTRACT In this paper an introduction to the citizen participation in electronic govenment is pr... more ABSTRACT In this paper an introduction to the citizen participation in electronic govenment is prsented. A new participation model is described though mobile technologies and linguistic information. This model can produce new environments where to increase the citizen contribution in government of cities an contries.

The stock market volatility and the actual stock Exchange activity have increased the need of cou... more The stock market volatility and the actual stock Exchange activity have increased the need of counting with effective methods on the part of financial analysts to achieve a division in relation to the investment actions, being also growing the demand of methodological instruments that reduce and minimize the risks and uncertainty when valuating financial actives and companies. These systems not only must use quantitative information but the inclusion of qualitative information must also bear heavily on them, as an improvement element in the adjustment of these valuating methods, with the aim of throwing a more well-conceived or less mistaken decision. In this work, the use of Discounted Cash-Flow model is proposed, with quantitative information together with the OWA operators as an inclusion method of qualitative information in the traditional valuating models, with the aim of generating an strategic valuating system which allows to develop more agreed and less mistaken valuations.

Page 1. m-Cognocracy: A Solution to Participatory Democracy With Mobile Technology José I. Peláez... more Page 1. m-Cognocracy: A Solution to Participatory Democracy With Mobile Technology José I. Peláez Department of Languages and Computer Sciences - University of Málaga - Málaga 29071 - Spain jignacio@lcc.uma.es Jesús ...

Computational Intelligence. Theory and Applications

The aggregation operators based on the ordered weighted averaging are know as OWA operators. Thes... more The aggregation operators based on the ordered weighted averaging are know as OWA operators. These OWA operators can provide for aggregation lying between the Max, Min operators and the logical or and and operators. The purpose of this paper is to present a new OWA operator that is based on the majority process. This operator uses the cardinality of the aggregation elements to penalize or reward the weights values.

The two-dimension guillotine cut is actually one of the most interesting problems in modern indus... more The two-dimension guillotine cut is actually one of the most interesting problems in modern industries like metallurgic, textile, wooden... in which it’s needed to cut sheets in pieces with an associated dimensions and benefits in the way to maximize the final benefit. The purpose of this work is to present an evolutionary metaheuristic for the two-dimension cut problem using guillotine, also it’s shown how this approach can be applied to solve these types of problems, it’s compared with other exact algorithms and finally it’s defined an evolutionary representation which may be used with different metaheuristics.

International Journal of Environmental Research and Public Health

COVID-19 has changed our lives forever. The world we knew until now has been transformed and nowa... more COVID-19 has changed our lives forever. The world we knew until now has been transformed and nowadays we live in a completely new scenario in a perpetual restructuring transition, in which the way we live, relate, and communicate with others has been altered permanently. Within this context, risk communication is playing a decisive role when informing, transmitting, and channeling the flow of information in society. COVID-19 has posed a real pandemic risk management challenge in terms of impact, preparedness, response, and mitigation by governments, health organizations, non-governmental organizations (NGOs), mass media, and stakeholders. In this study, we monitored the digital ecosystems during March and April 2020, and we obtained a sample of 106,261 communications through the analysis of APIs and Web Scraping techniques. This study examines how social media has affected risk communication in uncertain contexts and its impact on the emotions and sentiments derived from the semanti...

Social Sciences

Opinion mining and sentiment analysis has become ubiquitous in our society, with applications in ... more Opinion mining and sentiment analysis has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications (MarCom). Within this context, opinion mining and sentiment analysis in marketing communications (OMSAMC) has a strong role in the development of the field by allowing us to understand whether people are satisfied or dissatisfied with our service or product in order to subsequently analyze the strengths and weaknesses of those consumer experiences. To the best of our knowledge, there is no science mapping analysis covering the research about opinion mining and sentiment analysis in the MarCom ecosystem. In this study, we perform a science mapping analysis on the OMSAMC research, in order to provide an overview of the scientific work during the last two decades in this interdisciplinary area and to show trends that could be the basis for future developments in the field. This study...

Sustainability

This paper presents a novel approach for ranking tourist destinations based on the eigenvector me... more This paper presents a novel approach for ranking tourist destinations based on the eigenvector method for pairwise voting (EMPV). The proposed approach relies solely on pairwise comparisons instead of direct-vote polling. The EMPV method was tested over a real-world case application to rank various tourist destinations in the Costa del Sol region, Spain, and its outcome was compared against a polling approach using a Likert-type scale. Results show that the EMPV and the Likert-based approach provided different rankings of preferred tourist destinations. Furthermore, both the EMPV and the Likert-based approaches shared the same preference patterns per ranking position, thus confirming that the reported predilection of the tourist is independent of the measurement approach. Finally, results show that the ranking produced by the EMPV methodology was highly related to the real number of visitors of the Costa del Sol tourist destinations, surpassing the Likert-based approach in both orde...

IEEE Access

Consistency estimation of decision-makers' judgments in decision-making processes is fundamental ... more Consistency estimation of decision-makers' judgments in decision-making processes is fundamental to generating agreements and making decisions. Analytic hierarchy process (AHP) is a widely used method to solve this type of problem, enabling evaluation of the consistency of judgments emitted by the decision-makers through the maximum eigenvalue of the matrix of judgments. In addition to the consistence index originally proposed in AHP, different indexes have been proposed in the literature, which use the minimum element of consistency. These indices that solve some of the original consistency index problems, present others that may question their usefulness. The purpose of this paper is to propose a new index, as an improvement of the previous indexes. Among other characteristics, this new index is intuitive and easy to use, is bounded in the interval [0,1], proposes a critical value to accept or reject matrices, that depends on the size of the pairwise-comparison matrix, and can be extended to another type of pairwise-comparison scales. In addition, the probability distribution for the new index is defined, which enables calculating the probability of a matrix being consistent, as a function of the critical acceptance value.

Knowledge-Based Systems

The purchasing process is not an isolated or unique fact, but a process that contains distinct ph... more The purchasing process is not an isolated or unique fact, but a process that contains distinct phases. One of these phases is the evaluation of alternatives, in which the consumer compares the benefits that will be obtained from each brand, product or service, depending on a set of characteristics or criteria. Knowing these criteria and their importance is essential to companies for the supply and development of their products. Commonly this process is developed through multiple criteria decision-making methods, where experts, using surveys and their own experience, ascertain the consumers' purchasing criteria, as well as the importance of them. But this process to determine the importance of the criteria is not simple, as the thought, attitude and learning that direct purchases contain relations that consumers are not able to express explicitly; and secondly because the current information society in which we live causes consumers to receive large volumes of information at all times, causing perception changes regularly. This causes growing discrepancies between the rankings offered by experts and the actual purchase ranking of products and services. In this paper we propose a model to estimate the importance of the criteria and alternatives driving purchases making use of the information expressed by consumers in digital ecosystems. This model takes a set of comparable alternatives defined by the client and valuation criteria defined by experts, and by making use of the assessments that consumers make in digital ecosystems, determines the synergies implicit between the criteria and calculates their weight. Lastly, making use of the Choquet integral, the model aggregates the information and determines International Symposium on the Analytic Hierarchy Process

PloS one, 2018

Most of the tools and diagnosis models of Masticatory Efficiency (ME) are not well documented or ... more Most of the tools and diagnosis models of Masticatory Efficiency (ME) are not well documented or severely limited to simple image processing approaches. This study presents a novel expert system for ME assessment based on automatic recognition of mixture patterns of masticated two-coloured chewing gums using a combination of computational intelligence and image processing techniques. The hypotheses tested were that the proposed system could accurately relate specimens to the number of chewing cycles, and that it could identify differences between the mixture patterns of edentulous individuals prior and after complete denture treatment. This study enrolled 80 fully-dentate adults (41 females and 39 males, 25 ± 5 years of age) as the reference population; and 40 edentulous adults (21 females and 19 males, 72 ± 8.9 years of age) for the testing group. The system was calibrated using the features extracted from 400 samples covering 0, 10, 15, and 20 chewing cycles. The calibrated system...

Soft Computing, 2015

ABSTRACT Modeling interactions between criteria in Multiple Criteria Decision Analysis (MCDA) is ... more ABSTRACT Modeling interactions between criteria in Multiple Criteria Decision Analysis (MCDA) is a complex task. Such complexity arises when there are visible redundancies and synergies among criteria, which traditional MCDA methods cannot deal with. The Choquet integral is a model that has been conceived to deal with these issues, but an appropriate fuzzy measure must be defined. This article shows how to compute a fuzzy measure for criteria coalitions using linguistic information efficiently. Due to the complexity to identify an adequate fuzzy measure when the criteria set cardinality increases, the proposed model reduces the effort to determine the measure of each criteria combination by focusing on relevant interactions. Then, this fuzzy measure is used on Choquet integral to establish the best alternative in a decision making problem. Finally, a comparison between the arithmetic mean, the OWA operator and the proposed method is presented.

Detailed visual inspection is a fundamental skill at the core of routine procedures in clinical d... more Detailed visual inspection is a fundamental skill at the core of routine procedures in clinical dentistry. In this study we explore the possibility to achieve a more precise visual inspection process by combining computer vision and intelligence techniques. The aim of this paper is to propose a dental tissue classification system based on digital image analysis and computational intelligence techniques. A four-step computational model consisting of image ac-quisition, segmentation, feature extraction and tissue classification is defined. A set of 300 samples (N=300) were acquired from a dental picture database consistent of occlusal photographs of vital teeth. Each sample was segmented by a non-parametric Mean-Shift algorithm. Color and texture descriptors were extracted from each segmented region. A group of five professional dentists identified and labeled each one of the segmented regions as the desired classification targets. Finally, a multilayer perceptron for pattern recognit...

The missing data and nonresponse problem is a usual difficulty of particular concern in medical a... more The missing data and nonresponse problem is a usual difficulty of particular concern in medical and social science databases. Dealing with nonresponse can be a difficult matter and it is important to apply adequate missing data methods to obtain valid inference. Missing data is a very common problem in real data sets, and different methods to solve this problem have been developed. A simple and common strategy is to ignore missing values, thus reducing the size of the useful data set. The experience in databases has demonstrated the dangers of simply removing cases (listwise deletion) from the original data set, and deletion can introduce