Embracing net-zero principles and planet-friendly regenerative tourism practices can reduce
our carbon footprint and increase momentum toward carbon neutral. The present study …

Some subjective methods should divide input values into local clusters before determining
the ordered weighted averaging (OWA) operator weights based on the data distribution …

Accommodation is one of the necessities of tourists and travel agencies' significant
responsibilities. With the growing competition and profit-making various tour organising …

Multi-attribute group decision-making plays an important role in modern politics, economy,
culture, and life. The multi-attribute decision-making process is limited by policymakers' …

This paper introduces the performance of different forecasting methods for tourism demand,
which can be employed as one of the statistical tools for time series forecasting. The Holt …

In this article, the VIKOR method is proposed to solve the multiple criteria group decision
making (MCGDM) with 2-tuple linguistic neutrosophic numbers (2TLNNs). Firstly, the …

Grasping the future fluctuation characteristics and trend of oil prices form the basis for a
deep understanding of the system mechanisms and development trends of related research …

This study applied a novel rough set combination approach for forecasting sugarcane
production in India. The paper uses autoregressive integrated moving average (ARIMA) …

The mastery in forecasting the streamflow rates is of great importance in the design,
planning and resilience against droughts. Likewise, the application of flow duration and …

In connexion with the effect of the self-similar characteristic of satellite network service traffic
on queueing performance, a prediction model with optimised triple exponential smoothing is …