A novel VIKOR method with an application to multiple criteria decision analysis for hospital-based post-acute care within a highly complex uncertain environment

TY Chen - Neural Computing and Applications, 2019 - Springer
Post-acute care (PAC) is an interdisciplinary healthcare service used to assist in returning
patients to their community after they receive acute medical services. To establish a fully …

A new approach to interval-valued fuzzy soft sets and its application in decision-making

BK Tripathy, TR Sooraj, RK Mohanty - Advances in Computational …, 2017 - Springer
Soft set (SS) theory was introduced by Molodtsov to handle uncertainty. It uses a family of
subsets associated with each parameter. Hybrid models have been found to be more useful …

Assessment of barriers impeding the incorporation of blockchain technology in the service sector: a case of hotel and health care

K Saraf, K Bajar, A Jain, A Barve - Journal of Modelling in …, 2024 - emerald.com
Purpose This study aims to determine the barriers hindering the incorporation of blockchain
technology (BCT) in two key service industries–hotel and health care–as well as to assess …

Hesitant fuzzy soft set theory and its application in decision making

TR Sooraj, RK Mohanty, BK Tripathy - Artificial Intelligence and …, 2017 - Springer
There are several models of uncertainty found in the literature like fuzzy set, rough set, soft
set and hesitant fuzzy set. Also, several hybrid models have come up as a combination of …

Recommending turmeric variety for higher production using interval-valued fuzzy soft set model and PSO

RK Mohanty, BK Tripathy - International Journal of Swarm …, 2021 - igi-global.com
Soft set is one of the latest mathematical models to handle uncertainty. In a soft set, every
element of its parameter set is associated with a subset of the universe of discourse under …

An interval valued fuzzy soft set based optimization algorithm for high yielding seed selection

TR Sooraj, BK Tripathy - International Journal of Fuzzy System …, 2018 - igi-global.com
As seed selection is a challenging task due to the presence of hundreds of varieties of seeds
of each kind, some homework is necessary for selecting suitable seeds as new varieties and …

Improved decision making through IFSS

TR Sooraj, RK Mohanty, BK Tripathy - … Conference on SCI 2016, Volume 1, 2018 - Springer
Decision making has become a common feature in day-to-day activities. Uncertainty-based
models are more efficient in handling such problems. In this chapter, we propose an …

Interval valued hesitant fuzzy soft sets and its application in stock market analysis

TR Sooraj, BK Tripathy - Artificial Intelligence and Evolutionary …, 2017 - Springer
Molodtsov introduced soft set theory in 1999 to handle uncertainty. It has been found that
hybrid models are more useful than that of individual components. Yang et al. introduced the …

Decision making on covid-19 containment zones' lockdown exit process using fuzzy soft set model

RK Mohanty, BK Tripathy, SC Parida - Computational Intelligence in Data …, 2022 - Springer
Covid-19 is one of the biggest pandemics in the history of mankind. It has kept the modern
world hostage for more than one and a half years now. Strict lockdown is creating more …

A new approach to interval-valued intuitionistic hesitant fuzzy soft sets and their application in decision making

TR Sooraj, RK Mohanty, BK Tripathy - … Conference on SCI 2016, Volume 1, 2018 - Springer
There are several models of uncertainty found in the literature like fuzzy set (FS), rough set,
intuitionistic fuzzy set, soft set, and hesitant fuzzy set. Also, several hybrid models have come …