This paper presents a new concept for the decomposition of fuzzy numbers into a finite number of α-cuts. Instead of subdividing the µ axis in an equidistant way, we suggest to subdivide the x axis equidistantly leading to a more efficient decomposition of the µ axis. Considering the interpolation...

Empirical studies show that individual investors do not always behave rationally and do not use standard investment portfolio selection tasks. In this paper we focus on investor choices and the basic elements affecting them. The paper presents optimization model based on a measure of investor satisfaction....

Soft Computing is being widely used in Information Security applications. Particularly, Neuro-Fuzzy approach provides a classification with humanunderstandable rules, yet the accuracy may not be sufficiently high. In this paper we seek for an optimal fuzzy patch configuration that uses elliptic fuzzy...

In Game theory, there are situations in which it is very difficult to characterize the private information of each player. In this case, the payoffs can be given by approximate values, represented by fuzzy numbers. Whenever there is uncertainty in the modeling of those fuzzy numbers, interval fuzzy numbers...

The fast and accurate forecasting thod can help mak-ers to make appropriate strategy. Zadeh was given the efinition of a fuzzy set in 1965. Song and Chissom proposed the definition and the forecasting framework of fuzzy time series in 1993. Sullivan and Woodall first proposed the forecasting method to...

In this paper we describe recent advances in our R code similarity detection algorithm. We propose a modification of the Program Dependence Graph (PDG) procedure used in the GPLAG system that better fits the nature of functional programming languages like R. The major strength of our approach lies in...

This paper presents a new technology for automatically generating linguistic reports and immediate feedback from actions performed by players during play sessions. These reports allow us to provide players with a more complete and personalized feedback about their behaviors, abilities, attitudes, skills...

In the field of informetrics, agents are often represented by numeric sequences of non necessarily conforming lengths. There are numerous aggregation techniques of such sequences, e.g., the g-index, the h-index, that may be used to compare the output of pairs of agents. In this paper we address a question...

The more skills a student acquires, the more successful this student is with the corresponding tasks. Empirical data shows that the success in a task grows as a logistic function of skills; this dependence is known as the Rasch model. In this paper, we provide two uncertainty-based justifications for...

Haptic feedback is currently emerging as a feasible solution to cope with the security-related issues of automobile touch-screen displays, and at the same time to improve users satisfaction and quality of use. Therefore, we have developed a fuzzy symbolic model of haptic perception for automobile interfaces...

Nowadays, decision making using fuzzy logic is a ma-jor research area for scientists, researchers and project managers. Construction of membership functions and fuzzy rules from numerical data is very important in various applications of the fuzzy set theory. Therefore, in this paper a model is proposed...

In this paper, the integration of mutual information (MI) and fuzzy model is proposed to predict stock indexes with complex and non-linear characteristics. Technical indicators are considered as initial input candidates and significant inputs are determined by MI-based input selection method. To identify...

Competitive intelligence analysis based on user gener-ated contents (UGCs) shows advantages on possessing the benefit of the wisdom of crowds, evading cognitive biases and timely updating. This paper investigates and constructs a bipartite graph model by extracting joint co-occurrence of competitors...

This paper presents a software aimed at making easier the design of customized products in accordance with consumers’ expectations. It is based on a user-centered design methodology which combines techniques provided by Kansei Engineering, Sensory Analysis, and Soft Computing. Consumers’ expectations...

Path-finding algorithms (PFA) are successfully used to find the optimal path between two locations. Good results are obtained if they are used in scenarios where the entire environment can be described mathematically. Production environments of automated guided vehicles (AGVs) are not one of those. PFA...

We explore the possible benefit that provides a linguistic approach to Big Data. The proposal illustrates how implement Linguistic Aggregation Functions using the MapReduce paradigm. The best known paradigm applied to Big Data. The proposal allows several benefits to Big Data e.g., it allows to interpret...

Several definitions of difference between fuzzy numbers are well established in literature: standard, Hukuhara, generalized Hukuhara, generalized, CIA and other differences based on joint possibility distributions. We present and compare them. An example of epidemiological model of a disease with direct...

This paper proposed the use of vision based Fuzzy control approaches for autonomous navigation tasks with Unmanned Aerial Vehicles (UAVs). It is shown the advantages of using RGB cameras as the sensor onboard UAVs and the advantages of using Fuzzy logic controllers. It is explained how to set a vision...

The reliability of the fuzzy scale for assessing the responses of a person in an opinion questionnaire (which is usually treated as a Likert-type questionnaire) is analyzed. Thus, a comparison between a classical Likert scale-based questionnaire and its fuzzy rating scale-based version in terms of their...

In geophysics, signals come with noise. It is desirable to minimize the effect of this noise. If we knew the probabilities of different values of signal and noise, we could use statistical filtering techniques. In geophysics, however, we rarely know the exact values of these probabilities; instead, we...

Fuzzy logic has been a useful tool for modeling complex problems, with the use of fuzzy variables and fuzzy rules, and in this paper we use a fuzzy system for parameter adaptation in the Ant Colony Optimization (ACO meta-heuristic). In this case we perform the dynamic adaptation of Alpha and Rho parameters;...

A statistical analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation in the Bee Colony Optimization algorithm (BCO) is presented in this paper. The Bee Colony Optimization meta-heuristic belongs to the class of Nature-Inspired Algorithms. The objective of the work is based...

A fuzzy set can be seen as a measure of the meaning of a predicate in a given universe. Generally, a predicate covers some elements of the universe and not others. In this paper the problem of determining the properties a fuzzy set should check to cover elements not covered by a predicate represented...

In this paper, we propose the use of energy load profiles to learn human activities. An energy load profile determines the energy consumption of an appliance during a specific interval of time. We propose the use of clustering techniques to group the different profiles according to their temporal consumption....

This paper describes the optimization of the fuzzy inte-grators in Ensembles of ANFIS models for time series prediction, this with emphasis on its application to the prediction of Mackey-Glass time series, so this bench-mark time series is used to the test of performance of the proposed ensemble architecture....

Global and balanced performance measurement in Qual-ity Policy Deployment is a key element of quality man-agement in public Higher Education Institutions (HEI´s). This paper describes the design of a fuzzy linguistic model for measuring Quality Policy Deployment in a Colombian public HEI. The proposed...

Recent developments in computing and hardware manufacturing are allowing many pieces of software to be embedded in general-purpose, low-cost devices. This work presents and tests the feasibility and performance of implementing, in such a device, a previously developed unified fuzzy controller for managing...

The electricity market has been significantly changing in the last decade. The deployment of smart meters is enabling the logging of huge amounts of data relating to the operations of utilities with the potential of being translated into valuable knowledge on the behaviour of consumers. This work proposes...

We study classroom discussions to obtain a fuzzy summary of the quality of teaching and opportunities to learn mathematics created in whole-class settings. We consider the ten rubrics of the Instructional Quality Assessment and make a fuzzy interpretation of this tool. We selected two problems of proportionality...

In this paper we present a procedure to obtaining the solution of a fuzzy differential equation via differential inclusions. This procedure is an alternative approach, based on optimal control tools, to obtaining a description exact of a fuzzy solution for a large class of nonlinear fuzzy differential...

In this paper, we discuss three tasks of mining information from time series, namely finding intervals with monotonous trend, evaluation of it in sentences of natural language, and summarizing information using intermediate quantifiers. The mined information is presented in simple sentences of natural...

Short-term stream flow forecasts are required for simulation, optimization, and decision-making purposes in applications ranging from hydropower planning to flood prevention. The particular case of one-day ahead stream flow forecasting is an important but difficult problem that has been increasingly...

This paper uses a methodology based in fuzzy sets theory in order to describe the interaction between the prey, Aphis glycines (Hemiptera: Aphididae) - the soybean aphid, and its predator, Orius insidiosus (Hemiptera: Anthocoridae) and to propose a chemical control for soybean aphid. Economic thresholds...

In many models for real-world problems such as the law of conservation of energy, the sum of parameters must be zero. In this paper, we investigate the problem of adding fuzzy numbers using the extension principle based on the concept of the joint possibility distribution. In particular, we present a...

The linguistic description of data intends to provide texts that convey the most important information contained in the data. One of the main tasks to be carried out in order to build a linguistic description is the extraction and representation of the knowledge to be transmitted. To perform this task,...

We give a normalized expression for the solutions to the initial value problem for some linear fuzzyinterval differential equations by using a general notation which allows the combination of two types of differences. By switching between these types of differences, we derive several expressions for...

In this paper we introduce a new notion of generalized metric, called i-metric. This generalization is made by changing the valuation space of the distance function. The result is an interesting distance function for the set of fuzzy numbers of Interval Type with non negative fuzzy numbers as values....

Let I = [a, b] be a real compact interval and ƒ : I I a continuous function. De ne Kc([a, b]) the class of all non empty compact subinterval of [a, b] and let the natural extension of ƒ to Kc([a, b]) , that is to say, (J) = ƒ(J) for all J ([a, b]). Also, let c([a, b]) the class of all fuzzy-intervals...

This work aims at comparing two models of fuzzy distribution: Normal and Laplace, whenever they are inside the context of possibilistic mean-variance model described by Li et al. in [ ], where fuzzy Normal distribution is used. We propose to make a comparison using their model, but instead we apply fuzzy...

This paper aims to introduce the concept of Gradual Complex Number (GCN) based on the existing definition of gradual numbers and to show that the algebraic and polar forms, as well as some algebraic properties, of complex numbers can be directly extended from the crisp case. Furthermore, a kind of distance...

Fuzzy sets and logic have been largely used for the treatment of the uncertainty, vagueness and ambiguity found in the modeling of real problems. However, there may exist also the case when there is uncertainty related to the membership functions to be used in the modeling of fuzzy sets and fuzzy numbers,...

Craniofacial superimposition is a forensic identification method involving the overlay of a skull over the available ante-mortem photographs of a candidate missing person face and the subsequent analysis of their anatomical correspondence. Within this process, the decision making stage focuses on determining...

Linguistic summarization offers novel ways of gaining insight into large amounts of data by extracting their main properties and representing them linguistically. Various linguistic summarization techniques have been proposed for data sets consisting of attribute-value pairs. However, many application...