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A two-phase fuzzy decision-making method based on multigranular linguistic assessment
2012
African Journal of Business Management
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In this paper, experts' opinions can be expressed by different types of 2-tuple linguistic variables. ...
Under this situation, it is difficult for decision-maker to make the right comparison between alternatives and choose the best one in a short time. ...
The 2-tuple linguistic representation model is based on the concept of symbolic translation (Herrera and Martinez, 2000; Xu, 2005) . ...
doi:10.5897/ajbm11.465
fatcat:lkmyjulvzna7jaqzgxdhh5ubui
Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems
2016
PLoS ONE
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AHP-based ranking technique. ...
To address the aforementioned problems, this study integrated analytic hierarchy process, soft set theory, and the fuzzy linguistic representation model to evaluate the performance of various training ...
[53] used a fuzzy multi-attribute group decision making technique based on a 2-tuple linguistic model to rank and select alternative City Logistics Center locations. ...
doi:10.1371/journal.pone.0162092
pmid:27598390
pmcid:PMC5012659
fatcat:2w5lwr2kkjdjnhkhg7ld7kwj3m
An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges
2019
Zenodo
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, and the robustness of the method. ...
First, we go through an theoretical survey of MULTIMOORA in terms of the subordinate ranking methods, ranking aggregation tools, weighting methods, group decision-making, combination with other mod- els ...
There are a variety of linguistic term sets like Interval 2-Tuple Linguistic Term set (ITLTS), Uncertain Linguistic Variable (ULV), and Two-Dimension Uncertain Linguistic Variable (TDULV). ...
doi:10.5281/zenodo.3048060
fatcat:d5oy5wznlngmhlnegv7zikdoim
An Extension of Regret Theory Based on Probabilistic Linguistic Cloud Sets Considering Dual Expectations: An Application for the Stock Market
2019
IEEE Access
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The decision of stock selection relies on experts' cognition and investors' behavioral characteristics. ...
INDEX TERMS Probabilistic linguistic cloud sets, regret theory, dual expectations, stock selection. ...
been adequately addressed. (3) RT is rarely applied in investment decisions in stock markets. ...
doi:10.1109/access.2019.2956065
fatcat:gksixja7gbgafmh3zr5452ek7y
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
2017
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
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Such architecture was used and evaluated in the context of the SemEval 2017 challenge (task 5, subtask 2), in which it obtained the best performance. ...
Our method builds on this conv-net method. ...
N of models to train 1 preprocess(X) // see sec 3.1 2 foreach s i in S do 3 X i = sentence representation(s i ) n = evaluate(X o , M n ) 10 end 11 y o (u) = 1 N N n y n (u)
Table 1 : 1 ble 1 we show ...
doi:10.18653/v1/s17-2138
dblp:conf/semeval/MansarGFGS17
fatcat:27g3u3buevgqxcqsbihd56y3p4
Resolving a portfolio optimization problem with investment timing through using the analytic hierarchy process, support vector regression and a genetic algorithm
2018
International Journal of Computational Intelligence Systems
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Based on the investment results from 26 May 2017 to 25 Aug. 2017, the annualized returns on investment are 15.36% and 6.15% for the stock markets of the semiconductor and iron and steel sub-sections, respectively ...
In the field of financial investment, investing in stocks is relatively easy compared to other investment commodities, since making a profit through buying a stock at a low price and selling it at a higher ...
., for supporting this study under Contract No. MUST-107BA-1. ...
doi:10.2991/ijcis.11.1.77
fatcat:l3czkkcaxjbjfitdhqvlt2ooam
Spare Parts Supplier Selection Design: A Case Study of A Railway Company
2021
Jurnal Optimasi Sistem Industri
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The current supplier selection model determines the selected supplier based on evaluating one aspect of the criteria (product aspect). ...
Spare parts support is essential for rolling stock maintenance management. ...
For example, Wen et al. [31] used 2-Tuple Linguistic Representation and VIKOR to select suppliers in the pharmaceutical industry. Biruk et al. ...
doi:10.25077/josi.v20.n2.p125-135.2021
fatcat:mgae7znwijes7osacrv2oxvppu
Some Novel Picture 2-Tuple Linguistic Maclaurin Symmetric Mean Operators and Their Application to Multiple Attribute Decision Making
2019
Symmetry
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Therefore, we investigate several novel aggregation operators, such as the picture 2-tuple linguistic MSM (2TLMSM) operator based on the ATT (ATT-P2TLMSM) and the picture 2-tuple linguistic generalized ...
Considering that the input parameters have different importance, we proposed picture 2-tuple linguistic weighted MSM (2TLWMSM) operators based on ATT (ATT-P2TLWMSM) and picture 2-tuple linguistic weighted ...
Picture 2-Tuple Linguistic MSM Operators Based on ATT Based on the new operations for picture 2-tuple linguistic sets and MSM operators, we developed a few novel P2TLMSM operators. ...
doi:10.3390/sym11070943
fatcat:oufy6mi4vbgdrkx4wojb2sgxtm
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
[article]
2017
arXiv
pre-print
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Such architecture was used and evaluated in the context of the SemEval 2017 challenge (task 5, subtask 2), in which it obtained the best performance. ...
Our method builds on this conv-net method. ...
DepecheMood provides scores for more than 37k entries, on the following affective dimensions: Afraid, Happy, Angry, Sad, Inspired, Don't Care, Inspired, Amused, Annoyed. ...
arXiv:1704.00939v1
fatcat:lt4yrpeeurh43el5o2hy6wjul4
Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach
2006
IEEE Transactions on Neural Networks
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This paper investigates the method of forecasting stock price difference on artificially generated price series data using neuro-fuzzy systems and neural networks. ...
Experimental results using the proposed stock trading with RSPOP forecast model on real world stock market data are presented. ...
II] for a brief description of POPFNN) which is based on the linguistic fuzzy model IF is AND is THEN is (1) IF is AND is THEN (2) (3) where , are the input vector and output value, respectively; , are ...
doi:10.1109/tnn.2006.875996
pmid:17001989
fatcat:ldvwem77w5av5bskhsvkcwqvby
An empirical study the relationship between intellectual intelligence and university performance
2012
Management Science Letters
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Acknowledgment The authors would like to thank the officials of medical school for providing support in providing necessary information to accomplish this survey. ...
They proposed a model for IC performance evaluation by combining 2-tuple fuzzy linguistic approach with multiple criteria decision-making method. ...
Tai and Chen (2009) provided a new evaluation model for IC based on computing with linguistic variable. ...
doi:10.5267/j.msl.2012.05.014
fatcat:5ozw6ros7rcsdkx5pwp4vg5jsu
Improving stock market prediction via heterogeneous information fusion
2018
Knowledge-Based Systems
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2018 pre-print arXiv:1801.00588v1 fatcat:krfe5cas25etpk3c7mctsljgra
Evaluations on the China A-share stock data and the HK stock data in the year 2015 demonstrate the effectiveness of the proposed model. ...
to feed into the prediction models for improving the prediction accuracy. ...
Quantitative analysis makes investment decisions based on the publicly available quantitative data (e.g., stock price, standard income, balance sheet, etc) [2] . ...
doi:10.1016/j.knosys.2017.12.025
fatcat:kehwo6ffsbblxiybgz2hq3n6im
Development of an evolutionary fuzzy expert system for estimating future behavior of stock price
2016
Journal of Industrial Engineering International
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This is the first study on using an approximate fuzzy rule base system and evolutionary strategy with the ability of extracting the whole knowledge base of fuzzy expert system for stock price forecasting ...
The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. ...
The features of the method are as follows (Niknam and Amiri 2010; Asadi et al. 2012) : (1) The method is based on researches on swarms such as fish schooling and bird flocking. (2) It is based on a simple ...
doi:10.1007/s40092-016-0165-7
fatcat:t63m2tbk6ndebee633na5ditfa
FN-TOPSIS: Fuzzy Networks for Ranking Traded Equities
2017
IEEE transactions on fuzzy systems
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Based on the case study, the proposed method outperforms the existing TOPSIS approaches in terms of ranking performance. ...
Thus, the decision maker evaluates the performance of each alternative for portfolio optimisation and further observes the performance for both benefit and cost criteria. ...
The actual monthly equity returns in November 2007, based on trading the shares of the 25 companies on the Kuala Lumpur Stock Exchange and holding for a month, are used for benchmarking. ...
doi:10.1109/tfuzz.2016.2555999
fatcat:3wdcjhin2vgyneyhwkna2wiuku
Comparison of decision-making approaches to prioritization of clean air action plans for sustainable development
2019
Environmental Health Engineering and Management
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For example, traffic criterion has the best performance in both methods in the evaluation of decision makers. ...
This study aimed to identify and prioritize clean air action plans for Turkey using a framework of both fuzzy and crisp evaluations. ...
Acknowledgements The author would like to thank the Environmental Engineering Research Center for their sincere cooperation. ...
doi:10.15171/ehem.2019.29
fatcat:p5seql7qdvgtno4fdi2a4lyj4m
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