Ali, M., Feng, F., Liu, X., Min, W. and Shabira, M. (2009). On some new operations in soft set theory, <em>Computers and Mathematics with Applications </em><bold>57</bold>(9): 1547-1553.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2008.11.009" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2008.11.009</a></dgdoi:pub-id>
Çağman, N. and Enginog˘lu, S. (2010). Soft matrix theory and its decision making, <em>Computers and Mathematics with Applications </em><bold>59</bold>(10): 3308-3314.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2010.03.015" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2010.03.015</a></dgdoi:pub-id>
Chen, D., Tsang, E., Yeung, D. and Wang, X. (2005). The parameterization reduction of soft sets and its applications, <em>Computers and Mathematics with Applications </em><bold>49</bold>(5-6): 757-763.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2004.10.036" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2004.10.036</a></dgdoi:pub-id>
Feng, F. (2009). Generalized rough fuzzy sets based on soft sets, <em>Proceedings of the 2009 International Workshop on Intelligent Systems and Applications, ISA 2009, Wuhan, China, </em>pp. 1-4.
Feng, F., Jun, Y., Liu, X. and Li, L. (2010a). An adjustable approach to fuzzy soft set based decision making, <em>Journal of Computational and Applied Mathematics </em><bold>234</bold>(1): 10-20.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.cam.2009.11.055" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.cam.2009.11.055</a></dgdoi:pub-id>
Feng, F., Li, Y. and Leoreanu-Fotea, V. (2010b). Application of level soft sets in decision making based on interval-valued fuzzy soft sets, <em>Computers and Mathematics with Applications </em><bold>60</bold>(6): 1756-1767.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2010.07.006" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2010.07.006</a></dgdoi:pub-id>
Gau, W. and Buehrer, D. (1993). Vague sets, <em>IEEE Transactions on System, Man, and Cybernetics </em><bold>23</bold>(2): 610-614.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1109/21.229476" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/21.229476</a></dgdoi:pub-id>
Gorzalzany, M. (1987). A method of inference in approximate reasoning based on interval-valued fuzzy sets, <em>Fuzzy Sets and Systems </em><bold>21</bold>(1): 1-17.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/0165-0114(87)90148-5" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/0165-0114(87)90148-5</a></dgdoi:pub-id>
Herawan, T. and Mat Deris, M. (2009). A direct proof of every rough set is a soft set, <em>Proceedings of the 3rd Asia International Conference on Modeling and Simulation, AMS’09, Bali, Indonesia, </em>pp. 119-124.
Herawan, T. and Mat Deris, M. (2011). A soft set approach for association rules mining, <em>Knowledge Based Systems </em><bold>24</bold>(1): 186-195.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.knosys.2010.08.005" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.knosys.2010.08.005</a></dgdoi:pub-id>
Hyndman, R. and Koehler, A. (2006). Another look at measures of forecast accuracy, <em>International Journal of Forecasting </em><bold>22</bold>(4): 679-688.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.ijforecast.2006.03.001" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ijforecast.2006.03.001</a></dgdoi:pub-id>
Jiang, Y., Tang, Y., Chen, Q., Liu, H. and Tang, J. (2010). Interval-valued intuitionistic fuzzy soft sets and their properties, <em>Computers and Mathematics with Applications </em><bold>60</bold>(3): 906-918.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2010.05.036" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2010.05.036</a></dgdoi:pub-id>
Jun, Y. and Park, C. (2008). Applications of soft sets in ideal theory of BCK/BCI-algebras, <em>Information Sciences </em><bold>178</bold>(11): 2466-2475.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.ins.2008.01.017" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ins.2008.01.017</a></dgdoi:pub-id>
Kong, Z., Gao, L. and Wang, L. (2009). Comment on “A fuzzy soft set theoretic approach to decision making problems”, <em>Journal of Computational and Applied Mathematics </em><bold>223</bold>(2): 540-542.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.cam.2008.01.011" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.cam.2008.01.011</a></dgdoi:pub-id>
Kong, Z., Gao, L., Wang, L. and Li, S. (2008). The normal parameter reduction of soft sets and its algorithm, <em>Computers and Mathematics with Applications </em><bold>56</bold>(12): 3029-3037.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2008.07.013" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2008.07.013</a></dgdoi:pub-id>
Li, C. and Chiang, T.-W. (2011). Function approximation with complex neuro-fuzzy system using complex fuzzy sets-A new approach, <em>New Generation Computing </em><bold>29</bold>(3): 261-276.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/s00354-011-0302-1" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s00354-011-0302-1</a></dgdoi:pub-id>
Ma, X., Sulaiman, N., Qin, H., Herawan, T. and Zain, J. (2011). A new efficient normal parameter reduction algorithm of soft sets, <em>Computers and Mathematics with Applications </em><bold>62</bold>(2): 588-598.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2011.05.038" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2011.05.038</a></dgdoi:pub-id>
Maji, P. (2009). More on intuitionistic fuzzy soft sets, <em>in </em>H. Sakai, M. Chakraborty, A. Hassanien, D. Slezak and W. Zhu (Eds.), <em>Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2009)</em>, Lecture Notes in Computer Science, Vol. 5908, Springer, Berlin/Heidelberg, pp. 231-240.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/978-3-642-10646-0_28" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/978-3-642-10646-0_28</a></dgdoi:pub-id>
Maji, P., Biswas, R. and Roy, A. (2003). Soft set theory, <em>Computers and Mathematics with Applications </em><bold>45</bold>(4-5): 555-562.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/S0898-1221(03)00016-6" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/S0898-1221(03)00016-6</a></dgdoi:pub-id>
Maji, P. and Roy, A. (2002). An application of soft sets in a decision making problem, <em>Computers and Mathematics with Applications </em><bold>44</bold>(8-9): 1077-1083.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/S0898-1221(02)00216-X" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/S0898-1221(02)00216-X</a></dgdoi:pub-id>
Maji, P. and Roy, A. (2007). A fuzzy soft set theoretic approach to decision making problems, <em>Journal of Computational and Applied Mathematics </em><bold>203</bold>(2): 412-418.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.cam.2006.04.008" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.cam.2006.04.008</a></dgdoi:pub-id>
Majumdar, P. and Samanta, S. (2010). Generalized fuzzy soft sets, <em>Computers and Mathematics with Applications </em><bold>59</bold>(4): 1425-1432.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2009.12.006" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2009.12.006</a></dgdoi:pub-id>
Molodtsov, D. (1999). Soft set theory first results, <em>Computers and Mathematics with Applications </em><bold>37</bold>(4-5): 19-31.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/S0898-1221(99)00056-5" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/S0898-1221(99)00056-5</a></dgdoi:pub-id>
Pei, D. and Miao, D. (2005). From soft sets to information systems, <em>Proceedings of the 2005 IEEE International Conference on Granular Computing, IEEE GrC’05, Beijing, China</em>, pp. 617-621.
Qin, H., Ma, X., Herawan, T. and Zain, J. (2011a). An adjustable approach to interval-valued intuitionistic fuzzy soft sets based decision making, <em>in </em>N. Nguyen, C. Kim and A. Janiak (Eds.), <em>ACIIDS 2011</em>, Lecture Notes in Computer Science, Vol. 6592, Springer, Berlin/Heidelberg, pp. 80-89.
Qin, H., Ma, X., Herawan, T. and Zain, J. (2011b). Data filling approach of soft sets under incomplete information, <em>in </em>N. Nguyen, C.G. Kim and A. Janiak (Eds.), <em>ACIIDS 2011</em>, Lecture Notes in Computer Science, Vol. 6592, Springer, Berlin/Heidelberg, pp. 302-311.
Qin, K. and Kong, Z. (2010). On soft equality, <em>Journal of Computational and Applied Mathematics </em><bold>234</bold>(5,1): 1347-1355.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.cam.2010.02.028" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.cam.2010.02.028</a></dgdoi:pub-id>
Quinlan, J. (1989). Unknown attribute values in induction, <em>Proceedings of the 6th International Machine Learning Workshop, San Mateo, Canada</em>, pp. 164-168.
Thiesson, B. (1995). Accelerated quantification of Bayesian networks with incomplete data, <em>1st International Conference on Knowledge Discovery and Data Mining, Montreal, Canada</em>, pp. 306-311.
Xiao, Z., Gong, K. and Zou, Y. (2009). A combined forecasting approach based on fuzzy soft sets, <em>Journal of Computational and Applied Mathematics </em><bold>228</bold>(1): 326-333.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.cam.2008.09.033" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.cam.2008.09.033</a></dgdoi:pub-id>
Xu, W., Ma, J., Wang, S. and Hao, G. (2010). Vague soft sets and their properties, <em>Computers and Mathematics with Applications </em><bold>59</bold>(2): 787-794.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2009.10.015" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2009.10.015</a></dgdoi:pub-id>
Yang, X., Lin, T., Yang, J. and Dongjun, Y. (2009). Combination of interval-valued fuzzy set and soft set, <em>Computers and Mathematics with Applications </em><bold>58</bold>(3): 521-527.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.camwa.2009.04.019" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.camwa.2009.04.019</a></dgdoi:pub-id>
Zhang, D. and Li, X. (2006). An absolute information quantity-based data making-up algorithms of incomplete information system, <em>Computer Engineering and Applications </em><bold>42</bold>(22): 155-157.
Zhong, N. and Skowron, A. (2001). A rough set-based knowledge discovery process, <em>International Journal of Applied Mathematics and Computer Science </em><bold>11</bold>(3): 603-619.
Zou, Y. and Xiao, Z. (2008). Data analysis approaches of soft sets under incomplete information, <em>Knowledge Based System </em><bold>21</bold>(8): 941-945.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.knosys.2008.04.004" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.knosys.2008.04.004</a></dgdoi:pub-id>