Arunodaya Raj Mishra
Arunodaya Raj Mishra
JUET, Guna
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Citata da
Citata da
A novel VIKOR approach based on entropy and divergence measures of Pythagorean fuzzy sets to evaluate renewable energy technologies in India
P Rani, AR Mishra, KR Pardasani, A Mardani, H Liao, D Streimikiene
Journal of Cleaner Production 238, 117936, 2019
New divergence and entropy measures for intuitionistic fuzzy sets on edge detection
MD Ansari, AR Mishra, FT Ansari
International Journal of Fuzzy Systems 20 (2), 474-487, 2018
A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection
P Rani, AR Mishra, A Mardani, F Cavallaro, M Alrasheedi, A Alrashidi
Journal of Cleaner Production 257, 120352, 2020
A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures
AR Mishra, P Rani, KR Pardasani, A Mardani
Journal of Cleaner Production 238, 117901, 2019
Intuitionistic Fuzzy Information Measures with Application in Rating of Township Development
AR Mishra
Iranian Journal of fuzzy systems 13 (03), 49-70, 2016
Interval-valued intuitionistic fuzzy WASPAS method: application in reservoir flood control management policy
AR Mishra, P Rani
Group Decision and Negotiation 27 (6), 1047-1078, 2018
Shapley divergence measures with VIKOR method for multi-attribute decision-making problems
AR Mishra, P Rani
Neural Computing and Applications 31 (2), 1299-1316, 2019
Extended Pythagorean fuzzy TOPSIS method based on similarity measure for sustainable recycling partner selection
P Rani, AR Mishra, G Rezaei, H Liao, A Mardani
International Journal of Fuzzy Systems 22 (2), 735-747, 2020
A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak
A Mardani, MK Saraji, AR Mishra, P Rani
Applied soft computing 96, 106613, 2020
Multiple-criteria decision-making for service quality selection based on Shapley COPRAS method under hesitant fuzzy sets
AR Mishra, P Rani, KR Pardasani
Granular Computing 4 (3), 435-449, 2019
Multi-criteria assessment of cellular mobile telephone service providers using intuitionistic fuzzy WASPAS method with similarity measures
AR Mishra, RK Singh, D Motwani
Granular Computing 4 (3), 511-529, 2019
Exponential intuitionistic fuzzy information measure with assessment of service quality
AR Mishra, D Jain, DS Hooda
International journal of fuzzy systems 19 (3), 788-798, 2017
Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection
R Kumari, AR Mishra
Iranian Journal of Science and Technology, Transactions of Electrical …, 2020
Information measures based TOPSIS method for multicriteria decision making problem in intuitionistic fuzzy environment
AR Mishra, P Rani
Iranian Journal of Fuzzy Systems 14 (6), 41-63, 2017
Intuitionistic fuzzy divergence measure-based multi-criteria decision-making method
AR Mishra, R Kumari, DK Sharma
Neural Computing and Applications 31 (7), 2279-2294, 2019
Biparametric Information Measures-Based TODIM Technique for Interval-Valued Intuitionistic Fuzzy Environment.
AR Mishra, P Rani
Arabian Journal for Science & Engineering (Springer Science & Business Media …, 2018
Extended MABAC method based on divergence measures for multi-criteria assessment of programming language with interval-valued intuitionistic fuzzy sets
AR Mishra, A Chandel, D Motwani
Granular Computing 5 (1), 97-117, 2020
A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures
AR Mishra, A Mardani, P Rani, EK Zavadskas
Journal of Cleaner Production 272, 122807, 2020
Intuitionistic fuzzy divergence measure-based ELECTRE method for performance of cellular mobile telephone service providers
AR Mishra, RK Singh, D Motwani
Neural Computing and Applications 32 (8), 3901-3921, 2020
On fuzzy distance and induced fuzzy information measures
AR Mishra, D Jain, DS Hooda
Journal of Information and Optimization Sciences 37 (2), 193-211, 2016
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