The main goal of this research is develop a sensitive analysis (SA) among some fuzzy operators, to ask the question: which is the most robustness fuzzy operators The fuzzy operators consider in this study are: Zadeh operators, Probabilistic operators and finally the compensatory fuzzy logic operators:...

Mathematical Morphology is a theory based on geometry, algebra, topology and set theory, with strong application to digital image processing. This theory is characterized by two basic operators: dilation and erosion. In this work we redefine these operators based on compensatory fuzzy logic using a linguistic...

Compensatory Fuzzy Logic (CFL) is a logical system, which enables an optimal way for the modeling of knowledge. Its axiomatic character enables the work of natural language translation of logic, so it is used in knowledge discovery and decision-making. In this work we propose a general and flexible approach...

In recent years Fuzzy Cognitive Maps (FCM) has be-come a useful Soft Computing technique for modeling and simulation. They are connectionist and recurrent structures involving concepts describing the system be-havior, and causal connections. This paper describes two abstract models based on Swarm Intelligence...

Consensus reaching processes in group decision making attempt to reach a mutual agreement amongst experts before making a common decision. Classical consensus models are focused on problems where few decision makers participate. However, new societal and technological trends may require a large number...

Advanced technologies have enabled us to collect large amounts of data. These data may be transformed into use-ful knowledge. Because of our limited ability to manually process the data, it is necessary to use automatic tools to mine useful knowledge. Many data-mining methods have been proposed which...

The aim of this paper is to prove the rationality of two new fuzzy solutions to cooperative n-person games. They are the Fuzzy Negotiation Solution by Knowledge Engineering and Compensatory Negotiation Solution by Knowledge Engineering, which are based on bargaining over statements coming from experts....

(FNSKE) and Compensatory Negotiation Solution by Knowledge Engineering (CNSKE) are two new solution concepts to n-person cooperative games. They involve a quantitative index, called Good Deal Index (GDI), which is the matrix solution of a recurrent equation. The existence and uniqueness of the GDI entail...

Techniques based on Soft Computing are useful to solve real-world problems where decision makers use subjective knowledge when making decisions. In many problems in transport and logistics it is necessary to take into account that the available knowledge about the problem is imprecise or uncertain. Truck...

Since the introduction of the uncertainty theory, a new paradigm in economy and finance is formed with the in-corporation of new models that allow a greater degree of accuracy to the reality of the environment of organiza-tions based on the fuzzy logic theory. This article empha-sizes the importance...

Case-based reduction is viewed as an important prepro-cessing step for case based decision-making. In this pa-per, is introduced a Support Rough Set model to deal with mixed and incomplete data. The Support Rough Set mod-el is used to reduce the case base by using positive and limit regions of decision....

Covering based Rough Sets are an important generalization of Rough Set Theory. Basically, they replace the partition generated from an equivalence relation by a covering. In this context many approximation operators can be defined [16, 26, 27, 28, 34]. In this paper we want to discover relationships...

This approach provides a novel methodology for address-ing a well-known problem of Software Engineering, the prioritization of software requirements. The proposal combines the use of tools such as the Analytic Hierarchy Process (AHP), the Self-Organizing Maps (SOM) and al-so methods belonging to the...

This paper presents two proactive algorithms that act as meta-metaheuristic agents: they decide which metaheuristic will be used to solve a new problem. These meta-metaheuristic agents operate in the environment of iterative work on optimizing problems, with the goal of selecting good metaheuristics...

This paper formulates the 3D Stochastic Stowage Plan-ning (3D SSP) problem. The key objective of 3D SSP is to minimize the number of container movements and maximize the ship´s stability considering multiple scenar-ios. The binary formulation of this problem is described and an alternative formulation,...

In this paper, a review about the quality of the similarity measure and its applications in machine learning is presented. This measure is analyzed from the perspective of the granular computing. The granular computing allows analyzing the information at different levels of abstraction and from different...

In this work we present a new hybrid approach for solv-ing the clustering problem for geographic data, which is known to be NP-hard. Two metaheuristics that have prov-en efficiency in combinatory optimization problems have been chosen for the comparison: Simulated Annealing (SA) and Variable Neighborhood...

This work provides a foundation to make heterogeneous alternatives for mobility (transportation modes) compara-ble in the context of sustainability and providing possi-bilities to also compare them in other contexts such as costs or flexibility. The key to a successful comparison of such transportation...

This work aims to develop an Empirical Analysis of Des-tination Competitiveness of three main cities of Sinaloa, Mexico with a well-known Crouch-Ritchie model. This problem is approached as a multicriteria ranking problem with an outranking method and a multicriteria group deci-sion support system to...

In this paper we face the multicriteria sorting problem considering that we have incomplete information. Multicriteria sorting is a particular case of classification problems. It consists in the assignment of some actions to some pre-defined classes. Classification refers to prob-lems where the classes...

One of the most important management issues lies in determining the best portfolio of a given set of investment proposals. This decision involves the pursuit of multiple criteria, and has been commonly addressed by implementing a two-phase procedure whose first step identifies the efficient solution...

Nowadays, most approaches in the evolutionary multiobjective optimization literature concentrate mainly on adapting an evolutionary algorithm to generate an ap-proximation of the Pareto frontier. However, this does not solve the problem. We present a new idea to incorporate into a MOEA the Decision Maker...

The framework of multiobjective optimization is used to tackle the multicriteria ranking problem. The conceptual advantages of the multiobjective formulation are discussed and a new multiobjective evolutionary algorithm is introduced with the purpose of transforming a known valued outranking relation...

In this paper, we consider a model of partially mixed duopoly with conjectured variations equilibrium (CVE). The agents’ conjectures concern the price variations depending upon their production output’s increase or decrease. We establish existence and uniqueness results for the conjectured variations...

In this paper, a model of partially mixed oligopoly with conjectured variations equilibrium (CVE) is studied. The agents make conjectures concerning the price variations depending upon their production output’s fluctuations. Existence and uniqueness results for the conjectured variations equilibrium...

In decision-making situations, it is common to have a set of alternatives and to choose the best among them or to estab-lish a ranking. Multi-criteria decision methods can be ap-plied to obtain different rankings, even though the set of al-ternatives and criteria are the same. Considering this, the idea...

ECG sequences databases lack of a formal way to model analysis and query operations. In the pursuit of such a formal model, the definition of relevant primitive operators is necessary. We identify the convolution operator of sequences as one of those primitive operators. We take two QRS detection algorithms...

Selecting project portfolios Decision-Maker usually starts with limited information about projects and portfo-lios. One of the challenges involved in analyzing, search-ing and selecting the best portfolio is having a method to evaluate the impact of every project and portfolio in order to compare them....

In general, the problem of R&D project portfolio selec-tion (RDPPS) is to choose a set of project proposals that optimize certain impact measures designated by the deci-sion maker. In this paper we present a MILP model, that incorporates the most relevant aspects of the problem found in the literature,...

This paper presents a Web-based Multicriteria Group De-cision Support System for solving multicriteria ranking problems: how to rank a set of alternatives - having eval-uations in terms of several criteria - in decreasing order of preference by a collaborative group of decision makers in sequential or...

This work analyses decision making situations, where the quantity of the value function associated with the alternatives is a random number with known distribution. The main contribution of the paper is that alternatives are grouped into pseudo indifference classes, where the alternatives are indifferent...

The Universidad Nacional de Córdoba founded in 1613 is the oldest and one of the largest in the country. In 2011 it had 121,476 undergraduate students, 9,156 teaching positions and 83 degree programs. The university has 13 academic units, two pre-college high schools, two teaching hospitals and a blood...

Governmental agencies, businesses and nongovernmental organizations experience repetitive and out-of-date processes causing resource waste. Banks, credit card companies and tax authorities must evaluate whether creditors have fulfilled their obligations, and funding agencies should verify the use of...

We considered the modeling of the evaluation of projects for industrializing the artisanal production of mescal. A Decision Support system is modeled for determining the priorities of the tasks. The ability for evaluating projects is considered. Data provided from a large research developed in Guerrero...

In this paper we present a mining project about extracting knowledge from public documents concerning air pollution. Our collection contains annual reports about air quality, acid rains, climatological conditions in the large area of Mexico City. These reports contain reliable data and are generated...

This research is based on the study of a real database, in order to determine the factors of the High Cardiovascular Risk in the city of Santa Clara, in the Central Region of Cuba. Mathematical models of the high risk index, consid-ering the characteristics of the population of the city are obtained....

Most of the information needed for the management in the decision making process is essentially based on sub-jective and imprecise concepts expressed primarily by "experts" in a natural language or based in simples indica-tors and it’s not capable to check the strategy in a more integral way. In the...

Trying to combine the easy-to-use tag-based annotations and the accurateness of structured formal annotations, a semantic enhancement of learning object repositories is proposed in this paper. Its potential impact to accessibility in the user experience is evaluated whilst similarities and differences...

In this paper, an extended method for ontology learning from concept maps is presented. Concept maps are a flex-ible and informal knowledge representation, while ontol-ogies are semantically formalized representations oriented to be processing by intelligent systems. The mapping be-tween them is a formal...

In the last decade, the interest for temporal data analysis methods has increased significantly in many application areas. One of these areas is the medical field, in which temporal data is in the core of innumerous diagnosis exams. However, only a small portion of all gathered medical data is properly...

Telemedicine can facilitate the examination and diagnosis of patients in locations with lack of resources and medical experts. This paper presents an innovative method and a computer system that allows real-time text, voice and video interaction among participants and data sharing of colonoscopy exams...

In this paper a new taxonomy for feature selection algorithms created for high-dimensional datasets is proposed. Also, several selectors are described, analyzed and evaluated. It was observed that the Cfs-SFS algorithm reached the best solutions in most of the cases. Nevertheless, its application in...

The present research analyzes the management of the knowledge with regard to its transfer in an educational institution located in Medellin, Colombia. A mixed re-search approach was used by conducting survey to 25 teachers, in order to measure the knowledge transfer made after taking a training course...

Underpinned by the vertiginous progress of Informatics and Communication Technologies, new evolutions of de-cision technologies are coming with the consequent bene-fit for decision makers and users in general. The integra-tion of Geographical Information Systems (GIS) and De-cision Support Systems (DSS)...

The integration between the Business and Information Technologies (IT) has become one of the main priorities in today’s organizations. To face this issue, the results of this investigation have been centered in efforts to link a model to identify the level of maturity of the strategic integration of...

Traditionally, data views are seen as static, syntactically correct, data sets. The semantics of the data is not explicitly encoded in RDB (relational databases) but implicitly on the application level. However, the needs to create context-aware browsing methods in changing scenarios are demanding more...

Nowadays, most Spatial Decision Support Systems (SDSSs) are designed to solve a specific problem in a given region. This fact makes rather difficult or even im-possible to develop comparative analyses and studies among different solutions. This research presents a ge-neric rule-based spatial decision...

The need to satisfy a more demanding customer in a scenery where deadlines and costs must be ever smaller to maintain competitiveness, together with increased uncertainty about demand, has been leading organizations to collaborate to such a level that now the competition is not between isolated enterprises,...

Information processed by applications is usually stored in databases or filing systems, allowing each system to use its own interface. As the files are not stored transparently, it is necessary to define data models to efficiently manage the information. This study proposes a process for storing information...