Fuzzy Investment Decision Making with Examples
| Author | : Cengiz Kahraman |
| Publisher | : Springer Nature |
| Total Pages | : 261 |
| Release | : |
| Genre | : |
| ISBN | : 3031546601 |
Fuzzy Investment Decision Making With Examples
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Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments
| Author | : Wei Zhou |
| Publisher | : Springer |
| Total Pages | : 144 |
| Release | : 2019-03-22 |
| Genre | : Technology & Engineering |
| ISBN | : 3030113493 |
This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.
Investment Decisions in Advanced Manufacturing Technology
| Author | : Magdy G. Abdel-Kader |
| Publisher | : Routledge |
| Total Pages | : 350 |
| Release | : 2018-12-20 |
| Genre | : Social Science |
| ISBN | : 0429826826 |
First published in 1998, this volume was designed to lead to an operational model of Advanced Manufacturing Technology (AMT) decision making which incorporated the mathematics of fuzzy set theory. The rapid advancement of robotics, automated technologies and software such as CAD and CAM have made such studies paramount. Here, analyses of a questionnaire survey and field study of major UK manufacturing companies together provide a simulating portrayal of AMT investment decision making and have been expanded upon with a model using fuzzy set theory.
A Neuro-fuzzy Logic Forecasting System in Stock Investment Decision Making Processes
| Author | : Xu Wang |
| Publisher | : |
| Total Pages | : |
| Release | : 2007 |
| Genre | : Artificial intelligence |
| ISBN | : |
"The sophisticated financial investment world is characterized by highly random variations in stock prices, financial indexes and trading volumes so that it is quite difficult to get fundamental understanding of the financial investment process and to predict the stock market. This research attempts to develop a new and innovative approach to predict the stock time series with artificial intelligence techniques. Specifically, a fuzzy logic analysis has been made to predict the stock time series with different characteristic variables and different investments horizons, respectively. A neural network is designed to fine-tune the parameters involved and thus a neuron-fuzzy logic time series forecasting model has been developed" - abstract.
Handbook of Research on Emerging Applications of Fuzzy Algebraic Structures
| Author | : Jana, Chiranjibe |
| Publisher | : IGI Global |
| Total Pages | : 439 |
| Release | : 2019-10-25 |
| Genre | : Mathematics |
| ISBN | : 1799801926 |
In the world of mathematics, the study of fuzzy relations and its theories are well-documented and a staple in the area of calculative methods. What many researchers and scientists overlook is how fuzzy theory can be applied to industries outside of arithmetic. The framework of fuzzy logic is much broader than professionals realize. There is a lack of research on the full potential this theoretical model can reach. The Handbook of Research on Emerging Applications of Fuzzy Algebraic Structures provides emerging research exploring the theoretical and practical aspects of fuzzy set theory and its real-life applications within the fields of engineering and science. Featuring coverage on a broad range of topics such as complex systems, topological spaces, and linear transformations, this book is ideally designed for academicians, professionals, and students seeking current research on innovations in fuzzy logic in algebra and other matrices.
Probabilistic Single-Valued (Interval) Neutrosophic Hesitant Fuzzy Set and Its Application in Multi-Attribute Decision Making
| Author | : Songtao Shao |
| Publisher | : Infinite Study |
| Total Pages | : 21 |
| Release | : |
| Genre | : Mathematics |
| ISBN | : |
The uncertainty and concurrence of randomness are considered when many practical problems are dealt with. To describe the aleatory uncertainty and imprecision in a neutrosophic environment and prevent the obliteration of more data, the concept of the probabilistic single-valued (interval) neutrosophic hesitant fuzzy set is introduced. By definition, we know that the probabilistic single-valued neutrosophic hesitant fuzzy set (PSVNHFS) is a special case of the probabilistic interval neutrosophic hesitant fuzzy set (PINHFS). PSVNHFSs can satisfy all the properties of PINHFSs. An example is given to illustrate that PINHFS compared to PSVNHFS is more general. Then, PINHFS is the main research object. The basic operational relations of PINHFS are studied, and the comparison method of probabilistic interval neutrosophic hesitant fuzzy numbers (PINHFNs) is proposed. Then, the probabilistic interval neutrosophic hesitant fuzzy weighted averaging (PINHFWA) and the probability interval neutrosophic hesitant fuzzy weighted geometric (PINHFWG) operators are presented. Some basic properties are investigated. Next, based on the PINHFWA and PINHFWG operators, a decision-making method under a probabilistic interval neutrosophic hesitant fuzzy circumstance is established. Finally, we apply this method to the issue of investment options. The validity and application of the new approach is demonstrated.
Fuzzy Multi-Criteria Decision Making
| Author | : Cengiz Kahraman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 591 |
| Release | : 2008-08-09 |
| Genre | : Computers |
| ISBN | : 0387768130 |
This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.
Investing in Mutual Funds Using Fuzzy Logic
| Author | : Kurt Peray |
| Publisher | : CRC Press |
| Total Pages | : 276 |
| Release | : 1999-06-25 |
| Genre | : Business & Economics |
| ISBN | : 9781574442649 |
Fuzzy Logic is an analytical tool used in the modeling of those phenomena that fall outside the scope of exact sciences. It is used in the analysis of complex and highly nonlinear processes, where mathematical models or standard classic logic cannot define conditions inherent to such processes, e.g. human thinking. Kurt Peray's detailed analysis of the new approaches and techniques for Risk Control and Portfolio Asset Allocation - which uses the principles of Fuzzy Logic - helps you to make decisions as to when to buy, hold or sell. While making independent and educated decisions, you will be able to hedge your portfolio from the volatile forces in the market, and will offset the erosive impact of inflation and taxation. In this electronic age, investors have quick access to important information relevant to the decision process. The guidelines and formulas that serve as foundations to the Fuzzy Logic approach gives you the ability to build customized programs. Investing in Mutual Funds Using Fuzzy Logic is for the individual who wants to invest in financial instruments that will provide a return for growth. With the investment approach he devised, Peray guides the you towards achieving your investment goals.
