Joe Lorkowski, Vladik Kreinovich. Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights. In Lotfi A. Zadeh, Ali M. Abbasov, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z. Reformat, editors, Recent Developments and New Direction in Soft-Computing Foundations and Applications - Selected Papers from the 4th World Conference on Soft Computing, May 25-27, 2014, Berkeley, CA, USA. Volume 342 of Studies in Fuzziness and Soft Computing, pages 89-98, Springer, 2014. [doi]
@inproceedings{LorkowskiK14-0,
title = {Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights},
author = {Joe Lorkowski and Vladik Kreinovich},
year = {2014},
doi = {10.1007/978-3-319-32229-2_7},
url = {http://dx.doi.org/10.1007/978-3-319-32229-2_7},
researchr = {https://researchr.org/publication/LorkowskiK14-0},
cites = {0},
citedby = {0},
pages = {89-98},
booktitle = {Recent Developments and New Direction in Soft-Computing Foundations and Applications - Selected Papers from the 4th World Conference on Soft Computing, May 25-27, 2014, Berkeley, CA, USA},
editor = {Lotfi A. Zadeh and Ali M. Abbasov and Ronald R. Yager and Shahnaz N. Shahbazova and Marek Z. Reformat},
volume = {342},
series = {Studies in Fuzziness and Soft Computing},
publisher = {Springer},
isbn = {978-3-319-32227-8},
}