Random coefficient mixture (RCM) GARCH models. - A. Thavaneswaran; S. S. Appadoo; Jagbir Singh (Math. Comput. Model., 2005)

Random coefficient GARCH models. - A. Thavaneswaran; Srimantoorao Semischetty Appadoo; M. Samanta (Math. Comput. Model., 2005)

RCA models with correlated errors. - S. S. Appadoo; A. Thavaneswaran; Jagbir Singh (Appl. Math. Lett., 2006)

Properties of a New Family of Volatility Sign Models. - A. Thavaneswaran; S. S. Appadoo (Comput. Math. Appl., 2006)

Recent developments in volatility modeling and applications. - A. Thavaneswaran; Srimantoorao Semischetty Appadoo; C. R. Bector (Adv. Decis. Sci., 2006)

Option valuation model with adaptive fuzzy numbers. - Kulathava Ranee Thiagarajah; S. S. Appadoo; A. Thavaneswaran (Comput. Math. Appl., 2007)

Fuzzy coefficient volatility (FCV) models with applications. - A. Thavaneswaran; Kulathava Ranee Thiagarajah; Srimantoorao Semischetty Appadoo (Math. Comput. Model., 2007)

Application of possibility theory to investment decisions. - S. S. Appadoo; Suresh Kumar Bhatt; C. R. Bector (Fuzzy Optim. Decis. Mak., 2008)

RCA models with GARCH innovations. - A. Thavaneswaran; S. S. Appadoo; Melody Ghahramani (Appl. Math. Lett., 2009)

Weighted possibilistic moments of fuzzy numbers with applications to GARCH modeling and option pricing. - A. Thavaneswaran; S. S. Appadoo; Alex Paseka (Math. Comput. Model., 2009)

Possibilistic moment generating functions. - Alex Paseka; S. S. Appadoo; A. Thavaneswaran (Appl. Math. Lett., 2011)

Doubly stochastic models with GARCH innovations. - Shelton Peiris; A. Thavaneswaran; S. S. Appadoo (Appl. Math. Lett., 2011)

RCA model with quadratic GARCH innovation distribution. - S. S. Appadoo; Aerambamoorthy Thavaneswaran; Saumen Mandal (Appl. Math. Lett., 2012)

Binary option pricing using fuzzy numbers. - A. Thavaneswaran; S. S. Appadoo; Julieta Frank (Appl. Math. Lett., 2013)

A note on "Generalized fuzzy linear programming for decision making under uncertainty: Feasibility of fuzzy solutions and solving approach". - Amit Kumar 003; S. S. Appadoo; C. R. Bector (Inf. Sci., 2014)

Measuring the bullwhip effect for supply chains with seasonal demand components. - Chaitra H. Nagaraja; A. Thavaneswaran; S. S. Appadoo (Eur. J. Oper. Res., 2015)

Mixed Solution Strategy for MCGDM Problems Using Entropy/Cross Entropy in Interval-Valued Intuitionistic Fuzzy Environment. - Anjana Gupta; Aparna Mehra; S. S. Appadoo (IGTR, 2015)

Modified difference-index based ranking bilinear programming approach to solving bimatrix games with payoffs of trapezoidal intuitionistic fuzzy numbers. - Tina Verma; Amit Kumar 003; S. S. Appadoo (J. Intell. Fuzzy Syst., 2015)

A note on "Ranking generalized exponential trapezoidal fuzzy numbers based on variance". - Gourav Gupta; Amit Kumar 003; S. S. Appadoo (J. Intell. Fuzzy Syst., 2016)

Analyzing Financial Smart Contracts for Blockchain. - Muskan Vinayak; Amrit Pal Singh Panesar; Saulo dos Santos; Ruppa K. Thulasiram; Parimala Thulasiraman; Srimantoorao Semischetty Appadoo (iThings/GreenCom/CPSCom/SmartData, 2018)

Recent advances in optimization theory and applications (RAOTA-2016). - Pankaj Gupta 001; Riccardo Cambini; S. S. Appadoo (Ann. Oper. Res., 2018)

A meta-heuristic for capacitated green vehicle routing problem. - Shuai Zhang; Yuvraj Gajpal; S. S. Appadoo (Ann. Oper. Res., 2018)

Mehar ranking method for comparing connection numbers and its application in decision making. - Akanksha Singh; Amit Kumar 003; S. S. Appadoo (J. Intell. Fuzzy Syst., 2018)

A Note on "Approaches to Interval Intuitionistic Trapezoidal Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information". - Arshdeep Kaur; Amit Kumar 003; S. S. Appadoo (Int. J. Fuzzy Syst., 2019)

Commentary on "A reply to a Note on the paper "A simplified novel technique for solving fully fuzzy linear programming problems"". - Arshdeep Kaur; Amit Kumar 003; S. S. Appadoo (J. Intell. Fuzzy Syst., 2019)

A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications. - Akanksha Singh; Amit Kumar 003; S. S. Appadoo (J. Intell. Fuzzy Syst., 2019)

Data Driven Approach for Reduced Value at Risk Forecasts in Renewable Power Supply Systems. - Behrouz Banitalebi; Srimantoorao Semischetty Appadoo; Aerambamoorthy Thavaneswaran (CCECE, 2020)

Modeling of Short-Term Electricity Demand and Comparison of Machine Learning Approaches for Load Forecasting. - Behrouz Banitalebi; Srimantoorao Semischetty Appadoo; Aerambamoorthy Thavaneswaran; Md. Erfanul Hoque (COMPSAC, 2020)

Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand. - Behrouz Banitalebi; Md. Erfanul Hoque; Srimantoorao Semischetty Appadoo; Aerambamoorthy Thavaneswaran (SSCI, 2020)

A note on "Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making". - Akansha Mishra; Amit Kumar 003; S. S. Appadoo (Eng. Appl. Artif. Intell., 2020)

Optimal Bidding Strategy in Day-Ahead Electricity Market for Large Consumers. - Behrouz Banitalebi; Srimantoorao Semischetty Appadoo; Aerambamoorthy Thavaneswaran (CCECE, 2021)

Intelligent Probabilistic Forecasts of Day-Ahead Electricity Prices in a Highly Volatile Power Market. - Behrouz Banitalebi; Srimantoorao Semischetty Appadoo; Yuvraj Gajpal; Aerambamoorthy Thavaneswaran (COMPSAC, 2021)

A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. - Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Srimantoorao Semischetty Appadoo; Ruppa K. Thulasiram; Behrouz Banitalebi (COMPSAC, 2021)

Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. - Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Md. Erfanul Hoque; Srimantoorao Semischetty Appadoo (SSCI, 2021)

Commentary on "D-Intuitionistic Hesitant Fuzzy Sets and Their Application in Multiple Attribute Decision Making". - Akansha Mishra; Amit Kumar 003; S. S. Appadoo (Cogn. Comput., 2021)

Commentary on "Utilizing Linguistic Picture Fuzzy Aggregation Operators for Multiple-Attribute Decision-Making Problems". - S. S. Appadoo; Mohammadreza Makhan; Amit Kumar 003 (Int. J. Fuzzy Syst., 2021)

A novel approach for solving all-pairs shortest path problem in an interval-valued fuzzy network: Suggested modifications. - Tanveen Kaur Bhatia; Amit Kumar 003; S. S. Appadoo (J. Intell. Fuzzy Syst., 2021)

Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting. - Sulalitha Bowala; Mohammadreza Makhan; You Liang; Aerambamoorthy Thavaneswaran; Srimantoorao Semischetty Appadoo (CCECE, 2022)

Tactical level operating theatre scheduling of elective surgeries for maximizing hospital performance. - Xiankai Yang; Yuvraj Gajpal; Vivek Roy; Srimantoorao Semischetty Appadoo (Comput. Ind. Eng., 2022)

Mehar approach to solve fuzzy linear fractional minimal cost flow problems. - Tanveen Kaur Bhatia; Amit Kumar 003; M. K. Sharma; S. S. Appadoo (J. Intell. Fuzzy Syst., 2022)

A note on "Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program". - S. S. Appadoo; Mohammadreza Makhan; Amit Kumar 003 (Soft Comput., 2022)

A note on "Pythagorean uncertain linguistic hesitant fuzzy weighted averaging operator and its application in financial group decision making". - S. S. Appadoo; Mohammadreza Makhan; Amit Kumar 003 (Soft Comput., 2022)

Mehar approach to solve neutrosophic linear programming problems using possibilistic mean. - Tanveen Kaur Bhatia; Amit Kumar 003; M. K. Sharma; S. S. Appadoo (Soft Comput., 2022)

A Note on "Parameter Estimation and Optimization of Multi-objective Capacitated Stochastic Transportation Problem for Gamma Distribution". - Tanveen Kaur Bhatia; Amit Kumar 003; S. S. Appadoo (Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain, 2023)

More-for-Less Solutions in Fuzzy Transportation Problems - Tanveen Kaur Bhatia; Amit Kumar 003; Srimantoorao Semischetty Appadoo (Springer, 2023)

A method to solve Pythagorean fuzzy transportation problems. - Tanveen Kaur Bhatia; Amit Kumar 003; S. S. Appadoo; M. K. Sharma (Int. J. Syst. Assur. Eng. Manag., 2023)

Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. - Sulalitha Bowala; Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Srimantoorao Semischetty Appadoo (COMPSAC, 2024)

Multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers: modified results. - Raina Ahuja; Amit Kumar 003; S. S. Appadoo (Soft Comput., 2024)

Migratory beekeeping routing: a combinatorial optimization problem in apiculture. - Xintong Qiu; Yuvraj Gajpal; Vivek Roy; Srimantoorao Semischetty Appadoo (Ann. Oper. Res., 2025)