Journal of Intelligent Systems in Current Computer Engineering - Volume 3, Issue 1, 2025

Megacities are facing traffic jams and their negative effects such as economic, social, and environmental. Decision-makers and politicians want to decrease this pressure on cities by attracting public transportation. To make public transportation attractive, understanding passenger demand plays an important role. Another important issue is related to the increased service quality of the public transportation system.

In this study, to evaluate and increase the service quality of the public bus system, quality criteria are defined regarding EN13816 certification which is designed for public transport and logistic services. A hybrid fuzzy method consisting of two-level hierarchies was developed based on the SERVQUAL approach. A gap analysis was conducted to discover the gap score between the passenger and operator sides. A real case study is applied to the study which is the Istanbul bus transportation system.

The results show a gap between the passenger and operator sides except for availability criteria. The biggest gap is seen for the time criterion of service quality. When the passengers prioritize security criteria in public bus services, the operator focuses on time for the operation. This study contributes to the literature by providing the Analytic Hierarchy Process (AHP) using a Spherical Fuzzy Sets based on the Servqual approach which is a new solution due to preventing loss of information in complex problems.

Also, the study sheds on lights for the public bus authorities or operators to find out priority criteria in service quality for improving services.

Whether in the short, medium or long term, forecasting electricity consumption has always been an essential study area. In the literature, many methods are used for future forecasting and are being improved daily to achieve better results.

The main objective of this study is to make the most accurate long-term electricity consumption forecast, which is the basis for optimal future planning in the energy sector. Electric consumption forecasting is performed regionally since planning at the regional level is essential for more precise planning.

There may be different variables that affect electricity consumption. This study extends the multivariate grey model for electricity consumption prediction to intuitionistic triangular fuzzy numbers for nine regions. In the grey model, population, export, and gross domestic product variables were used as independent variables, and future predictions for these variables were obtained through the univariate intuitionistic triangular fuzzy grey model.

The results of the proposed method are compared with those of the classical univariate grey model, univariate intuitionistic triangular fuzzy grey model, and classical multivariate grey model. The results show that the error values of the proposed method are lower.

The study contributes to the development of the grey model. More accurate prediction results are obtained with the proposed method compared to similar methods

Hazard analysis as one of the main study subjects in ergonomics and occupational health and safety (OHS) risk assessment is a critical requirement for ensuring the health and safety of workers in work environments. Current hazard analysis approaches in the literature may have some shortcomings. This study aims to provide more reliable assessments in the hazard analysis process by overcoming the shortcomings of classical approaches.

This study proposes a new hazard analysis approach based on the integration of the Fermatean Fuzzy set and the multi-criteria decision-making (MCDM) method MOORA.

The proposed approach is used to perform a hazard analysis of a company operating in the metal industry, which is one of the sectors where occupational accidents and occupational diseases most often occur. As a result of the application, the hazards and associated risks in the aluminum metal company are prioritized.

This study provides an advanced risk assessment technique for ergonomists and OHS professionals to make better decisions in hazard analysis studies.

Sustainability and sustainable development have received growing attention in both industry and academia due to concerns regarding the rapid decrease in natural resources and increase in carbon emissions.

In this study, we focus on the determination, evaluation, and analysis of the critical success factors in product sustainability by specifically focusing on the household goods industry. In the first phase of the study, we determine the critical success factors by referring to the existing literature and opinions of the experts who have experience in the household goods industry. Next, we use a trapezoidal type-2 fuzzy AHP algorithm to rank the determined criteria and discuss the main findings from a practical point of view.

Computational results bring several important managerial insights. First, we observe that all three aspects of sustainability (economic, environmental, and social) should be considered to ensure product sustainability. Second, the analysis reveals that cost (economic), quality (economic), generated waste and emission during the life cycle (environmental), energy and water consumption during the life cycle (environmental), and occupational health and safety (social) are among the highly ranked criteria.

In order to increase product sustainability, the companies should determine ways to decrease water usage, energy usage, carbon emission, and waste without neglecting the cost and quality of the product and without ignoring occupational health and safety.

Kolkata is located on the western bank of the Hooghly River. Wastewater from the city is discharged into this river and pollutes the river water. It causes maximum negative effects than positive impacts. Many uncertainties and bipolarity occur for this reason. Through the bipolar fuzzy concept, we can easily determine this situation.

A bipolar fuzzy is an effective tool for illustrating uncertainty and fuzziness for a decision-making problem. Therefore, in this paper, we have invented the bipolar expected value of bipolar fuzzy numbers. In addition, we have invented a few formulae and a theorem based on bipolar expected values.

Using this bipolar expected value, we developed a novel MCDM technique, which is employed for wastewater management problems in Kolkata under a bipolar environment. Numerically, we have solved the wastewater management problem in a bipolar fuzzy environment.

A useful ranking method for TBpF numbers has been invented. We designed a novel MCDM method based on bipolar expected value under a bipolar fuzzy environment. This MCDM technique analysed a wastewater management problem in Kolkata under a bipolar fuzzy environment.