نتایج جستجو برای: pythagorean fuzzy sets

تعداد نتایج: 292841  

Journal: :Symmetry 2023

The process of computing correlation among attributes an ordinary database is significant in the analysis and classification a data set. Due to uncertainties embedded classification, encapsulating techniques using Pythagorean fuzzy information appropriate curb uncertainties. Although coefficient between (PFD) applicable measure, its output not reliable because intrinsic effect other interfering...

Journal: :Fuzzy Sets and Systems 2010
Javier Gutiérrez García Tomasz Kubiak

Ulrich Höhle was born on 6 December 1943 in Bad Oeynhausen, Germany. Being musically and mathematically gifted (among others), he could not decide between music and mathematics, so he began his studies in both directions: mathematics and music (piano) at Johannes-Gutenberg Universität in Mainz (1963–1966). After having realized his true vocation, he decided to become a mathematician and continu...

Journal: :Fuzzy Sets and Systems 2003
Christer Carlsson Robert Fullér

To have a real option means to have the possibility for a certain period to either choose for or against making an invetsment decision, without binding oneself up front. The real option rule is that one should invest today only if the net present value is high enough to compensate for giving up the value of the option to wait. Because the option to invest loses its value when the investment is ...

Journal: :Journal of Intelligent and Fuzzy Systems 2017
Fabio Blanco-Mesa José M. Merigó Anna Maria Gil Lafuente

Fuzzy decision-making consists in making decisions under complex and uncertain environments where the information can be assessed with fuzzy sets and systems. The aim of this study is to review the main contributions in this field by using a bibliometric approach. For doing so, the article uses a wide range of bibliometric indicators including the citations and the h-index. Moreover, it also us...

Journal: :Inf. Sci. 2011
Jiri Kupka

Let X denote a locally compact metric space and φ : X → X be a continuous map. In the 1970s L. Zadeh presented an extension principle, helping us to fuzzify the dynamical system (X, φ), i.e., to obtain a map Φ for the space of fuzzy sets on X. We extend an idea mentioned in [P. Diamond, A. Pokrovskii, Chaos, entropy and a generalized extension principle, Fuzzy Sets and Systems 61 (1994)] and we...

Journal: :Fuzzy Sets and Systems 2005
Abdolrahman Razani Maryam Shirdaryazdi

holds (but which implies that the space is actually a Menger space). Z̆ikić [2] extended the existence part of their theorem showing that it is enough to consider the case of special sequence tn = 1/ n and that (1) holds for some x = x0 and y = f (x0). The error in her main theorem (and in all consequences) concerns the statement that, under the same conditions, also the uniqueness of fixed poin...

Journal: :Fuzzy Sets and Systems 2008
Yucheng Dong Hongyi Li Yin-Feng Xu

Chiclana, Herrera and Herrera-Viedma studied conditions under which the reciprocity property is maintained in the aggregation of reciprocal fuzzy preference relations using the OWA operator guided by a relative linguistic quantifier. In this note, we focus on the reciprocity in the aggregation of fuzzy preference relations (that is, the additive reciprocity is not assumed) using the OWA operato...

2012
Seema Mehra Renu Chugh L. A. Zadeh

A. George and P. Veeramani, 1994. On some results in fuzzy metric space, Fuzzy Sets and Systems, vol. 64, 395-399. B. Schweizer, H. Sherwood, and R. M. Tardi®,1988. Contractions on PMspace examples and counter examples, Stochastica vol. 1, 5–17. D. Mihet, 2004. A Banach contraction theorem in fuzzy metric spaces, Fuzzy Sets and Systems, vol. 144, 431–439. D. Mihet, 2008. Fuzzy -contractive mapp...

Journal: :Fuzzy Sets and Systems 2009
Yucheng Dong Yin-Feng Xu Shui Yu

In multiperson decision making situations, it is quite natural that different decision makers who may have different background and knowledge will provide their preferences by different kinds of preference relations. This paper proposes a linguistic multiperson decision making model (LMDMM) based on linguistic preference relations, integrating fuzzy preference relations, different types of mult...

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