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ORCIDS. S. Appadoo
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2020 – today
- 2024
[j36]Raina Ahuja, Amit Kumar, S. S. Appadoo:
Multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers: modified results. Soft Comput. 28(13-14): 7589-7600 (2024)- [c10]Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Srimantoorao Semischetty Appadoo:
Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. COMPSAC 2024: 1752-1757 - 2023
- [b1]Tanveen Kaur Bhatia, Amit Kumar, Srimantoorao Semischetty Appadoo:
More-for-Less Solutions in Fuzzy Transportation Problems. Springer 2023, ISBN 978-3-031-30336-4, pp. 1-159 - [j35]Tanveen Kaur Bhatia, Amit Kumar
, S. S. Appadoo, M. K. Sharma:
A method to solve Pythagorean fuzzy transportation problems. Int. J. Syst. Assur. Eng. Manag. 14(5): 1847-1854 (2023) - [p1]Tanveen Kaur Bhatia, Amit Kumar, S. S. Appadoo:
A Note on "Parameter Estimation and Optimization of Multi-objective Capacitated Stochastic Transportation Problem for Gamma Distribution". Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain 2023: 567-588 - 2022
- [j34]Xiankai Yang, Yuvraj Gajpal, Vivek Roy, Srimantoorao Semischetty Appadoo:
Tactical level operating theatre scheduling of elective surgeries for maximizing hospital performance. Comput. Ind. Eng. 174: 108799 (2022) - [j33]Tanveen Kaur Bhatia, Amit Kumar, M. K. Sharma, S. S. Appadoo:
Mehar approach to solve fuzzy linear fractional minimal cost flow problems. J. Intell. Fuzzy Syst. 43(1): 1035-1051 (2022) - [j32]S. S. Appadoo, Mohammadreza Makhan, Amit Kumar:
A note on "Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program". Soft Comput. 26(15): 7139-7141 (2022) - [j31]Tanveen Kaur Bhatia, Amit Kumar, M. K. Sharma, S. S. Appadoo:
Mehar approach to solve neutrosophic linear programming problems using possibilistic mean. Soft Comput. 26(17): 8479-8495 (2022) - [j30]S. S. Appadoo, Mohammadreza Makhan, Amit Kumar:
A note on "Pythagorean uncertain linguistic hesitant fuzzy weighted averaging operator and its application in financial group decision making". Soft Comput. 26(17): 8841-8843 (2022) - [c9]Sulalitha Bowala, Mohammadreza Makhan, You Liang, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo:
Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting. CCECE 2022: 182-187 - 2021
- [j29]Akansha Mishra, Amit Kumar, S. S. Appadoo:
Commentary on "D-Intuitionistic Hesitant Fuzzy Sets and Their Application in Multiple Attribute Decision Making". Cogn. Comput. 13(4): 1047-1048 (2021) - [j28]S. S. Appadoo, Mohammadreza Makhan, Amit Kumar:
Commentary on "Utilizing Linguistic Picture Fuzzy Aggregation Operators for Multiple-Attribute Decision-Making Problems". Int. J. Fuzzy Syst. 23(6): 1914-1917 (2021) - [j27]Tanveen Kaur Bhatia, Amit Kumar, S. S. Appadoo:
A novel approach for solving all-pairs shortest path problem in an interval-valued fuzzy network: Suggested modifications. J. Intell. Fuzzy Syst. 41(6): 6389-6406 (2021) - [c8]Behrouz Banitalebi, Srimantoorao Semischetty Appadoo, Aerambamoorthy Thavaneswaran:
Optimal Bidding Strategy in Day-Ahead Electricity Market for Large Consumers. CCECE 2021: 1-6 - [c7]Behrouz Banitalebi, Srimantoorao Semischetty Appadoo, Yuvraj Gajpal, Aerambamoorthy Thavaneswaran:
Intelligent Probabilistic Forecasts of Day-Ahead Electricity Prices in a Highly Volatile Power Market. COMPSAC 2021: 166-175 - [c6]Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo, Ruppa K. Thulasiram, Behrouz Banitalebi:
A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. COMPSAC 2021: 218-227 - [c5]Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo:
Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. SSCI 2021: 1-8 - 2020
- [j26]Akansha Mishra, Amit Kumar, S. S. Appadoo:
A note on "Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making". Eng. Appl. Artif. Intell. 87 (2020) - [c4]Behrouz Banitalebi, Srimantoorao Semischetty Appadoo, Aerambamoorthy Thavaneswaran:
Data Driven Approach for Reduced Value at Risk Forecasts in Renewable Power Supply Systems. CCECE 2020: 1-6 - [c3]Behrouz Banitalebi, Srimantoorao Semischetty Appadoo, Aerambamoorthy Thavaneswaran, Md. Erfanul Hoque:
Modeling of Short-Term Electricity Demand and Comparison of Machine Learning Approaches for Load Forecasting. COMPSAC 2020: 1302-1307 - [c2]Behrouz Banitalebi, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo, Aerambamoorthy Thavaneswaran:
Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand. SSCI 2020: 28-35
2010 – 2019
- 2019
- [j25]Arshdeep Kaur, Amit Kumar, S. S. Appadoo:
A Note on "Approaches to Interval Intuitionistic Trapezoidal Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information". Int. J. Fuzzy Syst. 21(3): 1010-1011 (2019) - [j24]Arshdeep Kaur, Amit Kumar, S. S. Appadoo:
Commentary on "A reply to a Note on the paper "A simplified novel technique for solving fully fuzzy linear programming problems"". J. Intell. Fuzzy Syst. 36(6): 5685-5691 (2019) - [j23]Akanksha Singh, Amit Kumar, S. S. Appadoo:
A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications. J. Intell. Fuzzy Syst. 37(1): 885-895 (2019) - 2018
- [j22]Pankaj Gupta, Riccardo Cambini, S. S. Appadoo:
Recent advances in optimization theory and applications (RAOTA-2016). Ann. Oper. Res. 269(1-2): 1-2 (2018) - [j21]Shuai Zhang, Yuvraj Gajpal, S. S. Appadoo:
A meta-heuristic for capacitated green vehicle routing problem. Ann. Oper. Res. 269(1-2): 753-771 (2018) - [j20]Akanksha Singh, Amit Kumar, S. S. Appadoo:
Mehar ranking method for comparing connection numbers and its application in decision making. J. Intell. Fuzzy Syst. 35(5): 5523-5528 (2018) - [c1]Muskan Vinayak, Amrit Pal Singh Panesar, Saulo dos Santos, Ruppa K. Thulasiram, Parimala Thulasiraman, Srimantoorao Semischetty Appadoo:
Analyzing Financial Smart Contracts for Blockchain. iThings/GreenCom/CPSCom/SmartData 2018: 1701-1706 - 2016
- [j19]Gourav Gupta, Amit Kumar, S. S. Appadoo:
A note on "Ranking generalized exponential trapezoidal fuzzy numbers based on variance". J. Intell. Fuzzy Syst. 31(1): 213-215 (2016) - 2015
- [j18]Chaitra H. Nagaraja, A. Thavaneswaran, S. S. Appadoo:
Measuring the bullwhip effect for supply chains with seasonal demand components. Eur. J. Oper. Res. 242(2): 445-454 (2015) - [j17]Anjana Gupta, Aparna Mehra, S. S. Appadoo:
Mixed Solution Strategy for MCGDM Problems Using Entropy/Cross Entropy in Interval-Valued Intuitionistic Fuzzy Environment. IGTR 17(1): 1540007:1-1540007:22 (2015) - [j16]Tina Verma, Amit Kumar, S. S. Appadoo:
Modified difference-index based ranking bilinear programming approach to solving bimatrix games with payoffs of trapezoidal intuitionistic fuzzy numbers. J. Intell. Fuzzy Syst. 29(4): 1607-1618 (2015) - 2014
- [j15]Amit Kumar, S. S. Appadoo, C. R. Bector:
A note on "Generalized fuzzy linear programming for decision making under uncertainty: Feasibility of fuzzy solutions and solving approach". Inf. Sci. 266: 226-227 (2014) - 2013
- [j14]A. Thavaneswaran, S. S. Appadoo, Julieta Frank:
Binary option pricing using fuzzy numbers. Appl. Math. Lett. 26(1): 65-72 (2013) - 2012
- [j13]S. S. Appadoo, Aerambamoorthy Thavaneswaran, Saumen Mandal:
RCA model with quadratic GARCH innovation distribution. Appl. Math. Lett. 25(10): 1452-1457 (2012) - 2011
- [j12]Alex Paseka, S. S. Appadoo, A. Thavaneswaran:
Possibilistic moment generating functions. Appl. Math. Lett. 24(5): 630-635 (2011) - [j11]Shelton Peiris, A. Thavaneswaran, S. S. Appadoo:
Doubly stochastic models with GARCH innovations. Appl. Math. Lett. 24(11): 1768-1773 (2011)
2000 – 2009
- 2009
- [j10]A. Thavaneswaran, S. S. Appadoo, Melody Ghahramani:
RCA models with GARCH innovations. Appl. Math. Lett. 22(1): 110-114 (2009) - [j9]A. Thavaneswaran, S. S. Appadoo, Alex Paseka:
Weighted possibilistic moments of fuzzy numbers with applications to GARCH modeling and option pricing. Math. Comput. Model. 49(1-2): 352-368 (2009) - 2008
- [j8]S. S. Appadoo, Suresh Kumar Bhatt, C. R. Bector:
Application of possibility theory to investment decisions. Fuzzy Optim. Decis. Mak. 7(1): 35-57 (2008) - 2007
- [j7]Kulathava Ranee Thiagarajah, S. S. Appadoo, A. Thavaneswaran:
Option valuation model with adaptive fuzzy numbers. Comput. Math. Appl. 53(5): 831-841 (2007) - [j6]A. Thavaneswaran, Kulathava Ranee Thiagarajah, Srimantoorao Semischetty Appadoo:
Fuzzy coefficient volatility (FCV) models with applications. Math. Comput. Model. 45(7-8): 777-786 (2007) - 2006
- [j5]S. S. Appadoo, A. Thavaneswaran, Jagbir Singh:
RCA models with correlated errors. Appl. Math. Lett. 19(8): 824-829 (2006) - [j4]A. Thavaneswaran, S. S. Appadoo:
Properties of a New Family of Volatility Sign Models. Comput. Math. Appl. 52(6-7): 809-818 (2006) - [j3]A. Thavaneswaran, Srimantoorao Semischetty Appadoo, C. R. Bector:
Recent developments in volatility modeling and applications. Adv. Decis. Sci. 2006: 86320:1-86320:23 (2006) - 2005
- [j2]A. Thavaneswaran, Srimantoorao Semischetty Appadoo, M. Samanta:
Random coefficient GARCH models. Math. Comput. Model. 41(6-7): 723-733 (2005) - [j1]A. Thavaneswaran, S. S. Appadoo, Jagbir Singh:
Random coefficient mixture (RCM) GARCH models. Math. Comput. Model. 42(5-6): 519-532 (2005)
Coauthor Index
aka: Aerambamoorthy Thavaneswaran
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