Uncertainty is often occurred in real-life decision-making problems due to the lack of complete information, imprecise data, and vagueness decision making experts qualitative judgment, thus, crisp values criteria may be insufficient handle such types complex real situations. As extension fuzzy set, intuitionistic set Pythagorean Fermatean Fuzzy Set (FFS) has been demonstrated as a powerful tool uncertainty arisen practical problems. Thus, this study aims introduce an integrated...

Alternative fuel vehicles (AFVs) offer opportunities to lower costs as well reduce greenhouse gas emissions, and, therefore, they are a feasible option for customers in the market. Due technological advancements, decisions about suitable alternative challenging problem fleet operators. This paper aims introduce multi-attribute decision-analysis framework rank and select “alternative (AFVs)” private home healthcare service provider Chandigarh, India. The selection of AFVs can be treated...

In this paper, globally existing low-carbon tourism strategies (LCTSs) are recognized and then ranked over fourteen different indicators relevant to SEE analysis (social (S), economic (E), environmental (E) aspects) of sustainability. A comprehensive framework is proposed in which decision experts (DEs) capable assess linguistic values give their decisions contribute the decision-making needs rank aspects that affect sustainable perspective LCTSs. This paper therefore proposes an integrated...

Abstract The parameter identification problem of photovoltaic (PV) models is classified as a complex nonlinear optimization that cannot be accurately solved by traditional techniques. Therefore, metaheuristic algorithms have been recently used to solve this due their potential approximate the optimal solution for several complicated problems. Despite that, existing still suffer from sluggish convergence rates and stagnation in local optima when applied tackle problem. study presents new...

The main objective of this research is to give an overview the Analytic Hierarchy Process (AHP) in neutrosophic environment. In some realistic situations, decision makers might be unable assign deterministic evaluation values comparison judgments due his/her limited knowledge or differences individual group making. To overcome these challenges, we have used set theory handle AHP, where each pair-wise judgment represented as a triangular number (TNN). paper, form AHP decision-making model for...

Since the outbreak of COVID-19, most countries around world have been confronting loss lives, struggling with several economical parameters, i.e. low GDP growth, increasing unemployment rate, and others. It's 11 months since we are COVID-19 some already facing second wave COVID-19. To get rid these problems, inventions a vaccine its optimum distribution is key factor. Many companies trying to find vaccine, but for nearly 8 billion people it would be impossible vaccine. Thus, competition...

Healthcare waste (HCW) management is an intricate issue upon which numerous factors, such as technical, economic, environmental, and social have impact. A determination on the best treatment method for HCW can be viewed a challenging multi-criteria decision-making (MCDM) problem in various options evaluation criteria are considered. One critical concern when assessing (HCWT) methods representation of dubious data. In this paper, we present q-rung orthopair fuzzy full consistency double...

Abstract Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-making (MCDM) problem due to association of diverse conflicting criteria with uncertain information. The utilization Fermatean fuzzy numbers successfully treated qualitative data and information that often occur in realistic MCDM problems. In this paper, an extended proportional assessment (COPRAS) approach developed treat problems set (FFS) context. First, aggregate information, new Archimedean...

Abstract Electric vehicles (EVs) have achieved a great deal of success, indicating that the motor industry will soon be emission-free. They run on electricity stored in batteries, which their drivers can recharge using an external source electricity. Therefore, development infrastructure for charging EVs has become necessity. In this paper, real case study Zagazig, Egypt, evaluating, operating, and determining most sustainable location EV station is presented. Identifying such complex task...

The selection of unmanned aerial vehicles for different purposes is a frequent topic research. This paper presents hybrid model an vehicle (UAV) using the Defining Interrelationships Between Ranked criteria (DIBR), Full Consistency Method (FUCOM), Logarithm Methodology Additive Weights (LMAW) and grey - Evaluation based on Distance from Average Solution (G-EDAS) methods. above-mentioned tested confirmed in case study. First all, are defined conditioning selection, then with help experts by...

In the past few years, private sectors and industries have focused their attention on sustainable development goals to achieve better more future for all. To accomplish a community, one requires recognize fundamental indicators selects most suitable policies in diverse regions of community. Considering huge impact construction industry development, very less research efforts been made obtain worldwide elucidations this type industry. As large sector industry, industrial buildings consume...

As an alternative for sustainable transportation and economic development, biofuels are being promoted as renewable climate-friendly resources of energy which can help to reduce the consumption fossil fuels, some pollutant emissions mitigate climate change impact from transport. With successful development biofuel industry, location selection production plant is one major concerns governments policymakers. Finding locations construction new plants includes several dimensions sustainability,...

Incorporating energy storage systems (ESSs) can mitigate the intermittency of renewable sources. There are a variety ESSs for with vastly different characteristics. The problem diversity characteristics in selecting most appropriate ESS be approached as multi-criteria decision-making (MCDM) problem. This research evaluates sustainable through case study Egypt. A computational approach is presented which experts use verbal expressions to express their opinions determining priorities...

This paper presents new averaging operators, such as mpF Einstein weighted (mpFEWA), ordered (mpFEOWA), hybrid (mpFEHWA), geometric (mpFEWG), and (mpFEHWG), well operations (mpFNs) for handling multi-polar fuzzy numbers. We evaluate these operators idempotency, boundedness, monotonicity, commutativity, we design them to deal with numbers (mpFNs). Furthermore, the study investigates use of in MAGDM settings, namely mpFEWA mpFEWG expand on this. Additionally, it proposes a procedure...

Abstract In this work, we propose a new dynamic mathematical model framework governed by system of differential equations that integrates both COVID-19 and cholera outbreaks. The estimations the parameters are based on outbreaks in Yemen from January 1, 2020 to May 30, 2020. Moreover, present an optimal control for minimizing number infected people cost associated with each control. Four preventive measures be taken outbreaks: social distancing, lockdown, tests, chlorine water tablets...

This study proposes a systematic methodology of the adoption Internet Things (IoT) barriers (IoTBs) that exist in waste management structures smart cities (SCs) growing economies likely India. A hybrid multi-attribute decision-making (MADM) is applied and has recognized 15 IoTBs from literature experts opinions obstructing IoT SCs The different are studied using similarity measure-based new weighting approach, combined compromise solution (CoCoSo) method. Considering Fermatean fuzzy sets...

Optimization problems are prevalent in a variety of real-world applications, including medical, engineering, chemical, and others, must be precisely solved to enhance the performance these applications. Unfortunately, finding near-optimal solutions is regarded as hard challenge due their various characteristics. In new attempt solve problems, this paper presents variant artificial gorilla troops optimizer (GTO) called ranking-based GTO (RGTO). This uses two strategies known update strategy...

Biofuel production from biomass resources can significantly contribute to greenhouse gas mitigation and clean energy generation. This paper aims develop a new decision analysis approach under an intuitionistic fuzzy set (IFS) setting rank suitable for biofuel production. For this purpose, Symmetry Point of Criterion (IF-SPC) tool was introduced obtain the objective weight indicators IF-rank sum (IF-RS) applied find subjective IFS setting. Then, integrated multi-attributive ideal real...

Transportation systems play a key role in urban development by providing access for people to markets and education, employment, health care, recreation, other services. However, uncontrolled population fast growth of vehicle mobility inevitably lead unsustainable transportation terms economic, technical, social, geographical aspects sustainability. Thus, there is need select suitable sustainable (SUT) alternatives, which can contributed the technological advancement city changes societal...

Lithium-ion battery (LiB), a leading residual energy resource for electric vehicles (EVs), involves market presenting exponential growth with increasing global impetus towards mobility. To promote the sustainability perspective of EVs industry, this paper introduces hybridized decision support system to select suitable location LiB manufacturing plant. In study, single-valued neutrosophic sets (SVNSs) are considered diminish vagueness in decision-making opinions and evade flawed plant...

The 0–1 Knapsack problem is a non-deterministic polynomial-time-hard combinatorial optimization that cannot be solved in reasonable time using traditional methods. Therefore, researchers have turned to metaheuristic algorithms for their ability solve several problems amount of time. This paper adapts the Kepler algorithm eight V-shaped and S-shaped transfer functions create binary variant called BKOA solving problem. Several experiments were conducted compare efficacy competing optimizers...