Search Results - subject:"fuzzy logic"

Alvero, Adrien; Xiao, Kairong - 2021

The existing bunching approach identifies the extent of bunching from a sharp spike in the probability density function. In many finance settings, however, the sharp spike could be diffused by data noise. This paper introduces a new fuzzy bunching approach that is robust to noise. The key idea...

Persistent link: https://www.econbiz.de/10013244004

A Fuzzy Logic Approach Toward Solving the Analytic Maze of Health System Financing

Chernichovsky, Dov; Bolotin, Arkady; de Leeuw, David - 2021

there a universe that can be subject to statistical scrutiny: each health system is unique. 'Fuzzy logic' and its underlying …

Persistent link: https://www.econbiz.de/10013246051

Examining Service Innovation Competencies of Turkish Deposit Banks With Fuzzy ANP, Fuzzy TOPSIS and Fuzzy VIKOR Methods

Dinçer, Hasan; Hacıoğlu, Ümit; Yüksel, Serhat - 2021

It is aimed to rank the service innovation issues of deposit banks in Turkey. In this context, 26 deposit banks of Turkey are analyzed by considering 16 different balanced scorecard-based criteria. Regarding the methodology, first of all, fuzzy ANP method is used to measure the significance of...

Persistent link: https://www.econbiz.de/10013247353

Consumer Credit Limit Assignment Using Bayesian Decision Theory and Fuzzy Logic – A Practical Approach

Paul, Uttiya; Biswas, Angshuman - 2021

vector, the class membership of a new entrant is being assigned using fuzzy logic. This makes the model robust, easy to …

Persistent link: https://www.econbiz.de/10013248805

Fuzzy and Neutrosophic Analysis of Women with HIV/AIDS. With Specific Reference to Rural Tamil Nadu in India

Kandasamy, W. B. Vasantha; Smarandache, Florentin - 2021

Neutrosophic models are used in the analysis of the socio-economic problems of HIV/AIDS infected women patients living in rural Tamil Nadu. Most of these women are uneducated and live in utter poverty. Till they became seriously ill they worked as daily wagers. When these women got admitted in...

Persistent link: https://www.econbiz.de/10013250029

Fuzzy Arbitrage

Zaker, Sassan - 2021

Classical wealth management heavily relies on the linear and two-dimensional world of Modern Portfolio Theory. While this has generally worked for investors, many new investment offerings only inadequately map into the CW world. This inadequacy is a source of potentially large investor losses,...

Persistent link: https://www.econbiz.de/10013214420

A Fuzzy MCDM Model for Post-COVID Portfolio Selection

Paur, Heman Amarjeet - 2021

Purpose- The outbreak of the COVID-19 pandemic is making the global economy succumb under pressure. The effect of the pandemic is notable especially in the context of developing countries like India. The situation is questioning the sustenance of many organizations and has made investors...

Persistent link: https://www.econbiz.de/10013217694

Domination in Fuzzy Graphs

Prassanna, D JeyanthI - 2021

Persistent link: https://www.econbiz.de/10013217995

Profitability Analysis with the Fuzzy Logic : A Hospital Example

Aslan, Tunay; Kizil, Cevdet; Yılmaz, Erdal - 2021

Implementation of the fuzzy logic is a modern approach for cost-volume-profit analysis and decision-making process … under risk and uncertainty (Yuan, 2009). The implementation of the fuzzy logic approach especially makes sense for profit or …. Another purpose of the research was to compare the profit or loss estimated by fuzzy logic with the actual values. Research …

Persistent link: https://www.econbiz.de/10013213108

Cloud Manufacturing with Fuzzy Inference Systems : A Supply Chain Approach to Post Covid-19 Economy

Kolahgar, Sam; Nateghi, Mohammad; Babaghaderi, Azadeh - 2021

This paper proposes a cloud manufacturing model as a supply chain approach for the post-COVID-19-economy. A fuzzy inference system is integrated into the model to optimally manage uncertainties related to Time, Quality, Cost, Reliability, and Availability caused by disruptions in the supply...

Persistent link: https://www.econbiz.de/10013213288