• # SAFD

• Referenced in 14 articles [sw14547]
• Data (in the form of polygonal fuzzy numbers). In particular, the package contains functions ... basic operations on the class of fuzzy numbers (sum, scalar product, mean, median, Hukuhara difference ... levelwise) histogram. Moreover a function to simulate fuzzy random variables, bootstrap tests for the equality...
• # FuzzyNumbers

• Referenced in 9 articles [sw14570]
• package FuzzyNumbers: Tools to Deal with Fuzzy Numbers. S4 classes and methods to deal with ... fuzzy numbers. With them you can compute any arithmetic operations (e.g. by using the Zadeh...
• # FuzzyStatTra

• Referenced in 2 articles [sw41114]
• package FuzzyStatTra: Statistical Methods for Trapezoidal Fuzzy Numbers. The aim of the package ... functions for doing statistics with trapezoidal fuzzy numbers. In particular, the package contains several functions ... simulating trapezoidal fuzzy numbers, as well as for calculating some central tendency measures (mean ... theta)-wabl/ldev/rdev distance between fuzzy numbers are included, and a function to calculate the value...
• # FURIA

• Referenced in 14 articles [sw19135]
• method called FURIA, which is short for Fuzzy Unordered Rule Induction Algorithm. FURIA extends ... includes a number of modifications and extensions. In particular, FURIA learns fuzzy rules instead...
• # fuzzyOP

• Referenced in 1 article [sw25474]
• package fuzzyOP: Fuzzy Numbers and the Main Mathematical Operations. This package contains functions which allow ... depiction of fuzzy numbers. Besides, the main arithmetic operations are applied to fuzzy numbers...
• # Nefrit

• Referenced in 2 articles [sw04094]
• linguistic expressions (linguistic variable theory). Fuzzy numbers model expert evaluations of alternatives according to individual...
• # FuzzyStatProb

• Referenced in 2 articles [sw11131]
• implementation of a method for computing fuzzy numbers representing stationary probabilities of an unknown Markov ... James Buckley in his book on Fuzzy probabilities (Springer, 2005), chapter 6. Package FuzzyNumbers...
• # F--MP

• Referenced in 2 articles [sw02169]
• fuzzy linguistic variables as well as fuzzy numbers. Our framework also adopts a design alternative ... provide the rule-based languages with fuzzy match facilities semantically enhanced, and that...
• # EM.Fuzzy

• Referenced in 1 article [sw43014]
• algorithm based on triangular and trapezoidal fuzzy numbers (as two kinds of incomplete data ... observations are triangular or trapezoidal fuzzy numbers. This method is based on maximizing the observed ... defined as the conditional probability of the fuzzy data; for more details and formulas...
• # fuzzyreg

• Referenced in 1 article [sw41112]
• crisp or fuzzy independent variables (triangular fuzzy numbers are supported). Implements multiple methods for parameter ... estimation and algebraic operations with triangular fuzzy numbers. Includes functions for summarising, printing and plotting...
• # MNPVfuzzy

• Referenced in 1 article [sw13157]
• under uncertainties: an approach based on fuzzy numbers and interval arithmetic. This paper presents ... investment projects under uncertainty. Triangular fuzzy numbers are used to represent uncertainty of cash flows...
• # FuzzyNumbers.Ext

• Referenced in 1 article [sw38048]
• package FuzzyNumbers.Ext.2: Apply Two Fuzzy Numbers on a Monotone Function. One can easily draw ... fuzzy numbers. This work is possible using function f2apply() which is an extension of function ... core, support and alpha-cuts of the fuzzy-valued final result...
• # FuzzyGPU

• Referenced in 1 article [sw33058]
• FuzzyGPU: A fuzzy arithmetic library for GPU. Data are traditionally represented using native format such ... integer or floating-point numbers in various flavor. However, some applications rely on more complex ... case when uncertainty needs to be apprehended. Fuzzy arithmetic is one of the major tools ... distributed library of common operations over fuzzy number...
• # SparseFIS

• Referenced in 11 articles [sw13736]
• fuzzy sets (centers and widths) in the antecedent parts of the rules. Hereby, the number ... phase optimizes the rule weights in the fuzzy systems with respect to least-squares error...
• # fclust

• Referenced in 9 articles [sw22644]
• well-known fuzzy k-means (fkm) clustering algorithm, an increasing number of papers devoted ... this purpose, a new toolbox for fuzzy clustering using the R programming language is presented...