This work proposes a new pseudo-metric based on fuzzy partitions (FPs). This pseudo-metric allows for the introduction of expert knowledge into distance computations performed on numerical data and can be used in various types of statistical clustering or other applications. The knowledge is formalized by a FP, in which each fuzzy set represents a linguistic concept. The pseudo-metric is design...

Function Point (FP) is a useful software metric that was first proposed twenty-five years ago, since then, it has steadily evolved into a functional size metric consolidated in the well-accepted Standardized International Function Point Users Group (IFPUG) Counting Practices Manual version 4.2. While software development industry has grown rapidly, the weight values assigned to count standard F...

In this paper we propose a fuzzy goal programming method for obtaining a satisfactory solution to a bi-level multi-objective absolutevalue fractional programming (BLMO-A-FP) problems. In the proposed approach, the membership functions for the defined fuzzy goals of all objective functions at the two levels as well as the membership functions for vector of fuzzy goals of the decision variables c...

An ideal I is a family of subsets of positive integers N which is closed under taking finite unions and subsets of its elements. In this paper we have introduced ideal convergent sequences of fuzzy real numbers usingσ-uniform density. Furthermore, inclusion between Iσ-convergence and invariant convergence also Iσ-convergence and [Vσ]Fp -convergence were given.

This paper presents a hybrid fuzzy logic proportional plus conventional integral-derivative controller (FP+ID) for the speed control of permanent magnet brushless dc (PMBLDC) motor. Though, PID controllers are commonly used in practice, they have failed to perform satisfactory under nonlinearity, load disturbances, parameter variation etc. In this paper, the performance of the permanent magnet ...

Due to the frequent appearance of time series data in various fields, it has always been an essential and interesting research field. A time series analysis involves the methods for analyzing time series data, in order to mine meaningful and other relevant characteristics of the data. In most cases, time series data are quantitative values, so to come up with an intellectually appealing data mi...

The Interval Type-2 Fuzzy Logic Controller (IT2FLC) is an advanced version of Type-1 Fuzzy Logic Controller (T1FLC) that improves the control strategies by using the advantage of its footprint of uncertainty of the Fuzzy Membership Function (MF). Numerous experimental investigations have shown the superiority of IT2FLC over T1FLC, particularly in high level of uncertainties and nonlinearities. ...