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Mikael Collan
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- affiliation: Lappeenranta University of Technology, Finland
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2020 – today
- 2024
- [j25]Jan Stoklasa
, Mikael Collan, Pasi Luukka
Practical possibilistic fuzzy pay-off method for real option valuation. Fuzzy Sets Syst. 492: 109072 (2024) - 2022
- [j24]Jan Stoklasa
On the relationship between possibilistic and standard moments of fuzzy numbers. J. Comput. Appl. Math. 411: 114276 (2022) - 2021
- [j23]Jan Stoklasa
Possibilistic fuzzy pay-off method for real option valuation with application to research and development investment analysis. Fuzzy Sets Syst. 409: 153-169 (2021) - [c23]Jani Kinnunen, Mikael Collan, Irina Georgescu
Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support. HCI (41) 2021: 455-473 - 2020
- [j22]Michele Urbani
A Comparison of Maintenance Policies for Multi-Component Systems Through Discrete Event Simulation of Faults. IEEE Access 8: 143654-143664 (2020) - [j21]Tommi Huotari, Jyrki Savolainen
Deep Reinforcement Learning Agent for S&P 500 Stock Selection. Axioms 9(4): 130 (2020) - [j20]Mahinda Mailagaha Kumbure
A new fuzzy k-nearest neighbor classifier based on the Bonferroni mean. Pattern Recognit. Lett. 140: 172-178 (2020) - [c22]Leonid Chechurin
Dynamization and Real Options - Discussing the Economic Success of Design Inventions. TFC 2020: 444-451
2010 – 2019
- 2019
- [j19]Pasi Luukka
Transformations between the center of gravity and the possibilistic mean for triangular and trapezoidal fuzzy numbers. Soft Comput. 23(10): 3229-3235 (2019) - [c21]Mahinda Mailagaha Kumbure
An Enhancement of Fuzzy K-Nearest Neighbor Classifier Using Multi-Local Power Means. EUSFLAT Conf. 2019 - 2018
- [j18]Azzurra Morreale
Uncertain outcome presentations bias decisions: experimental evidence from Finland and Italy. Ann. Oper. Res. 268(1-2): 259-272 (2018) - 2017
- [j17]Yuri A. Lawryshyn, Mikael Collan
New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework. Expert Syst. Appl. 86: 155-164 (2017) - [j16]Pasi Luukka
Comparing Circular Histograms by Using Modulo Similarity and Maximum Pair-Assignment Compatibility Measure. Int. J. Comput. Intell. Syst. 10(1): 1-12 (2017) - [j15]Jyrki Savolainen
Using a cycle reverting price process in modeling metal mining project profitability. Kybernetes 46(1): 131-141 (2017) - [j14]Pasi Luukka, Mikael Collan, Jan Stoklasa:
Preface: Special Issue on Adaptive and Intelligent Systems. J. Multiple Valued Log. Soft Comput. 29(5): 395 (2017) - [j13]Pasi Luukka, Nikolai Efimov-Soini, Mikael Collan, Mariia Kozlova:
Fuzzy MCDM-procedure for Design Evaluation: Capturing Redundant Information with an Interaction Matrix. J. Multiple Valued Log. Soft Comput. 29(5): 469-484 (2017) - [j12]Mikael Collan
Possibilistic risk aversion in group decisions: theory with application in the insurance of giga-investments valued through the fuzzy pay-off method. Soft Comput. 21(15): 4375-4386 (2017) - [c20]Pasi Luukka
Transformation of Variance to Possibilistic Variance and Vice Versa. EUSFLAT/IWIFSGN (2) 2017: 456-467 - [c19]József Mezei, Mikael Collan
Real Option Analysis with Interval-Valued Fuzzy Numbers and the Fuzzy Pay-Off Method. EUSFLAT/IWIFSGN (1) 2017: 509-520 - [c18]Onesfole Kurama, Pasi Luukka
A similarity classifier with generalized ordered weighted averaging operator. IFSA-SCIS 2017: 1-6 - [c17]József Mezei, Pasi Luukka
Similarity of histograms and circular histograms from interval and fuzzy data. IFSA-SCIS 2017: 1-6 - 2016
- [j11]Onesfole Kurama
A Similarity Classifier with Bonferroni Mean Operators. Adv. Fuzzy Syst. 2016: 7173054:1-7173054:11 (2016) - [j10]Onesfole Kurama, Pasi Luukka
An ɴ-ary λ-averaging based similarity classifier. Int. J. Appl. Math. Comput. Sci. 26(2): 407-421 (2016) - [j9]David Koloseni, Mario Fedrizzi, Pasi Luukka, Mikael Collan, Jouni Lampinen:
Feature-wise differential evolution classifier with an OWA-based multi-distance aggregation. Int. J. Math. Oper. Res. 9(4): 436-451 (2016) - [j8]Mariia Kozlova
Comparison of the Datar-Mathews Method and the Fuzzy Pay-Off Method through Numerical Results. Adv. Decis. Sci. 2016: 7836784:1-7836784:7 (2016) - [c16]Pasi Luukka
Bonferroni mean based similarity based TOPSIS. FUZZ-IEEE 2016: 704-709 - [p1]Mikael Collan
Strategic R&D Project Analysis: Keeping It Simple and Smart. Fuzzy Technology 2016: 169-191 - [e1]Mikael Collan, Mario Fedrizzi, Janusz Kacprzyk:
Fuzzy Technology - Present Applications and Future Challenges. Studies in Fuzziness and Soft Computing 335, Springer 2016, ISBN 978-3-319-26984-9 [contents] - 2015
- [j7]Mikael Collan
New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance. Adv. Fuzzy Syst. 2015 (2015) - [c15]Pasi Luukka, Mikael Collan:
Modulo similarity in comparing histograms. IFSA-EUSFLAT 2015 - [c14]Pasi Luukka
A Dynamic Fuzzy Consensus Model with Random Iterative Steps. HICSS 2015: 1474-1482 - 2014
- [j6]Mikael Collan
Evaluating R&D Projects as Investments by Using an Overall Ranking From Four New Fuzzy Similarity Measure-Based TOPSIS Variants. IEEE Trans. Fuzzy Syst. 22(3): 505-515 (2014) - [c13]Andrea Barbazza, Mikael Collan
Consensus Modeling in Multiple Criteria Multi-expert Real Options-Based Valuation of Patents. IEEE Conf. on Intelligent Systems (1) 2014: 269-278 - [c12]David Koloseni, Mario Fedrizzi, Pasi Luukka
Differential Evolution Classifier with Optimized OWA-Based Multi-distance Measures for the Features in the Data Sets. IEEE Conf. on Intelligent Systems (1) 2014: 765-777 - 2013
- [j5]Mikael Collan
A multi-expert system for ranking patents: An approach based on fuzzy pay-off distributions and a TOPSIS-AHP framework. Expert Syst. Appl. 40(12): 4749-4759 (2013) - [c11]Pasi Luukka, Mikael Collan:
Using a Linguistic Scorecard for Peer-Assessment Through an On-Line System. EUSFLAT Conf. 2013 - [c10]Pasi Luukka, Mario Fedrizzi, Leoncie Niyigena, Mikael Collan:
Fuzzy Similarity based Fuzzy TOPSIS with Multi-distances. IJCCI 2013: 193-200 - [c9]Pasi Luukka
Fuzzy Scorecards, FHOWA, and a New Fuzzy Similarity Based Ranking Method for Selection of Human Resources. SMC 2013: 601-606 - 2012
- [j4]Farhad Hassanzadeh, Mikael Collan
A Practical Approach to R&D Portfolio Selection Using the Fuzzy Pay-Off Method. IEEE Trans. Fuzzy Syst. 20(4): 615-622 (2012) - 2011
- [c8]Mikael Collan
Lazy User Model: Solution Selection and Discussion about Switching Costs. SCIS 2011: 56-68
2000 – 2009
- 2009
- [j3]Mikael Collan
A Fuzzy Pay-Off Method for Real Option Valuation. Adv. Decis. Sci. 2009: 238196:1-238196:14 (2009) - [c7]Mikael Collan
A Fuzzy Pay-Off Method for Real Option Valuation. BIFE 2009: 165-169 - [c6]Jani Kinnunen, Mikael Collan
Supporting the Screening of Corporate Acquisition Targets. HICSS 2009: 1-8 - [c5]Franck Tétard, Mikael Collan
Lazy User Theory: A Dynamic Model to Understand User Selection of Products and Services. HICSS 2009: 1-9 - 2007
- [c4]Shengnan Han
Usability Evaluation of a Mobile Medical Information System for Military Physicians. HICSS 2007: 139 - 2006
- [c3]Shengnan Han, Ville Harkke, Mikael Collan, Franck Tétard:
Usage of a Mobile Medical Information System: An Investigation of Physicians in the Military Service. Bled eConference 2006: 28 - 2005
- [c2]Mikael Collan
On Teaching Business Decision-Making in Complex Domains. ICALT 2005: 633-635 - 2003
- [j2]Mikael Collan
Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support. Ind. Manag. Data Syst. 103(6): 410-422 (2003) - [j1]Mikael Collan
Fuzzy Black and Scholes Real Options Pricing. J. Decis. Syst. 12(3-4): 391-416 (2003) - [c1]Ville Harkke, Dario Alessi, Mikael Collan
IT and Institutional Constraints: Effects of Legal and Administrative Constraints to Use IT in Production of Health Care Services - Focus on Finland. HICSS 2003: 164
Coauthor Index
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