Institution
Azerbaijan State Oil Academy
Education•Baku, Azerbaijan•
About: Azerbaijan State Oil Academy is a education organization based out in Baku, Azerbaijan. It is known for research contribution in the topics: Fuzzy logic & Computer science. The organization has 195 authors who have published 225 publications receiving 2713 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors derived volumetric properties such as excess (V m E ), apparent (VΦ), and partial (V ¯ 2 ∞ ) molar volumes using the measured values of density for the mixture and for pure components (water and 1-propanol).
14 citations
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TL;DR: In this paper, the authors measured the heat capacity of rocket propellant (RP-1 fuel) with a vacuum adiabatic calorimeter immersed in a precision liquid thermostat.
13 citations
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TL;DR: In this paper, the authors measured the densities of binary water+ethanol and ternary water+ erythanol+ LiNO3 mixtures over the temperature range from 298-K to 448-K and at pressures up to 40-MPa using the constant-volume piezometer immersed in a precision liquid thermostat.
13 citations
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TL;DR: Application of a fuzzy recurrent neural network (FRNN) based fuzzy time series forecasting method using genetic algorithm, whose values are linguistic values, can overcome the weakness of traditional forecasting methods.
Abstract: One of the frequently used forecasting methods is the time series analysis. Time series analysis is based on the idea that past data can be used to predict the future data. Past data may contain imprecise and incomplete information coming from rapidly changing environment. Also the decisions made by the experts are subjective and rest on their individual competence. Therefore, it is more appropriate for the data to be presented by fuzzy numbers instead of crisp numbers. A weakness of traditional crisp time series forecasting methods is that they process only measurement based numerical information and cannot deal with the perception-based historical data represented by fuzzy numbers. Application of a fuzzy time series whose values are linguistic values, can overcome the mentioned weakness of traditional forecasting methods. In this paper we propose a fuzzy recurrent neural network (FRNN) based fuzzy time series forecasting method using genetic algorithm. The effectiveness of the proposed fuzzy time series forecasting method is tested on benchmark examples.
13 citations
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01 Jan 2011TL;DR: This work states that decision-relevant information about outcomes, probabilities, preferences etc is inherently imprecise and as such described in natural language (NL) is called second-order information granules.
Abstract: Decision-making under uncertainty has evolved into a mature field. However, in most parts of the existing decision theory, one assumes decision makers have complete decision-relevant information. The standard framework is not capable to deal with partial or fuzzy information, whereas, in reality, decision-relevant information about outcomes, probabilities, preferences etc is inherently imprecise and as such described in natural language (NL). Nowadays, there is no decision theory with second-order uncertainty in existence albeit real-world uncertainties fall into this category. This applies, in particular, to imprecise probabilities expressed by terms such as likely, unlikely, probable, usually etc. We call such imprecise evaluations second-order information granules.
13 citations
Authors
Showing all 223 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ilmutdin M. Abdulagatov | 37 | 281 | 5064 |
Rafik A. Aliev | 24 | 75 | 1864 |
A. I. Abdulagatov | 16 | 42 | 1271 |
Nazim D. Azizov | 15 | 33 | 572 |
Sayavur I. Bakhtiyarov | 14 | 85 | 506 |
Oleg H. Huseynov | 14 | 29 | 830 |
Kamil Aida-zade | 9 | 76 | 292 |
B. G. Guirimov | 7 | 13 | 605 |
V. M. Abdullayev | 6 | 16 | 66 |
Lala A. Akhmedova-Azizova | 5 | 16 | 72 |
Mikail A. Magerramov | 5 | 6 | 89 |
Lala M. Zeinalova | 5 | 7 | 168 |
Babek Ghalib Guirimov | 4 | 13 | 59 |
A. B. Zeinalova | 4 | 6 | 79 |
A. A. Suleymanov | 3 | 7 | 22 |