Application of Fuzzy Logic in Investment-Intensive Decision Making
暂无分享,去创建一个
Sandeep Shrivastava | Prateek Pandey | Shishir Kumar | S. Shrivastava | Shishir Kumar | Prateek Pandey
[1] Prateek Pandey,et al. A framework for fuzzy modelling in agricultural diagnostics , 2018, Journal Européen des Systèmes Automatisés.
[2] Prateek Pandey,et al. A Predictive Fuzzy Expert System for Crop Disease Diagnostic and Decision Support , 2020 .
[3] David L. Olson,et al. Comparison of weights in TOPSIS models , 2004, Math. Comput. Model..
[4] Mamta Pandey,et al. Novel Approach for Mobile Based App Development Incorporating MAAF , 2019, Wirel. Pers. Commun..
[5] Prateek Pandey,et al. An activity vigilance system for elderly based on fuzzy probability transformations , 2019, J. Intell. Fuzzy Syst..
[6] Chen-Tung Chen,et al. Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..
[7] Prateek Pandey,et al. A fuzzy decision making approach for analogy detection in new product forecasting , 2015, J. Intell. Fuzzy Syst..
[8] Mamta Pandey,et al. Application of Fuzzy DEMATEL Approach in Analyzing Mobile App Issues , 2019, Programming and Computer Software.
[9] Ching-Lai Hwang,et al. Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.
[10] W. Pedrycz,et al. A fuzzy extension of Saaty's priority theory , 1983 .
[11] János Fülöp,et al. Working Paper 2011-1, Research Group of Operations Research and Decision Systems, Computer and Automation Institute, Hungarian Academy of Sciences, Budapest , 2011 .
[12] Hepu Deng,et al. Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).
[13] Prateek Pandey,et al. A Critical Evaluation of Computational Methods of Forecasting Based on Fuzzy Time Series , 2013, Int. J. Decis. Support Syst. Technol..
[14] Prateek Pandey,et al. An Efficient Time Series Forecasting Method Exploiting Fuzziness and Turbulences in Data , 2017, Int. J. Fuzzy Syst. Appl..
[15] C. Easingwood,et al. An analogical approach to the long term forecasting of major new product sales , 1989 .
[16] Mamta Pandey,et al. Empirical Analysis of Defects in Handheld Device Applications , 2019, ICACDS.
[17] Robert J. Thomas,et al. Estimating Market Growth for New Products: An Analogical Diffusion Model Approach , 1985 .
[18] Cengiz Kahraman,et al. Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments , 2008 .
[19] Mamta Pandey,et al. Mobile APP development based on agility function , 2018, Ingénierie des Systèmes d Inf..
[20] V. Mahajan,et al. Innovation diffusion and new product growth models: A critical review and research directions , 2010 .
[21] R. Litoriya,et al. Mobile applications in context of big data: A survey , 2016, 2016 Symposium on Colossal Data Analysis and Networking (CDAN).
[22] Prateek Pandey,et al. Forecasting using Fuzzy Time Series for Diffusion of Innovation: Case of Tata Nano Car in India , 2013 .
[23] Mamta Pandey,et al. Perception-Based Classification of Mobile Apps: A Critical Review , 2019, Smart Computational Strategies: Theoretical and Practical Aspects.
[24] Mamta Pandey,et al. An ISM Approach for Modeling the Issues and Factors of Mobile App Development , 2018, Int. J. Softw. Eng. Knowl. Eng..
[25] J. Buckley. Ranking alternatives using fuzzy numbers , 1985 .
[26] James J. Buckley,et al. Fuzzy hierarchical analysis: the Lambda-Max method , 2001, Fuzzy Sets Syst..
[27] Jyrki Wallenius,et al. New State of MCDM in the 21st Century , 2011 .