EVALUATION OF WEBSITES OF IT COMPANIES FROM THE PERSPECTIVE OF IT BEGINNERS

The Internet has brought almost limitless possibilities for the promotion of services and products and thereby caused a significant change in the world. It also allowed beginners to get more important information about their future jobs. Based on this idea, the research and writing of this work began. In this paper, we investigate how much IT companies' websites provide information on company products, used technology and relationships with employees. The paper presents a multicriteria model for evaluating IT companies' websites from the point of view of young IT experts

INVESTMENT PROJECT SELECTION BY APPLYING COPRAS METHOD AND IMPRECISE DATA

Investment projects can have a significant impact on the functioning and development of acompany. Therefore, the selection of one or more investment projects from the set of possible is animportant and difficult task for decision makers. This paper considers the investment projectsselection based on financial analysis criteria and use of imprecise data. In the proposed model, thealternative projects performances are expressed using crisp and interval values, and then the bestproject from the available is selected by using COPRAS and COPRAS-G methods. A numericalexample is given to demonstrate the applicability and effectiveness of the proposed approach

Development of the system for monitoring ambiental factors by applying Arduino platform

Ambient factors are of great importance for the health and behavior of people. Also, ambient factors affect the working environment and consequently the productivity of employees in the organization. Therefore, the paper aims to present the development and implementation of a system that connects the Arduino sensory components with functions for presenting data of ambient factors in the environment, both to display real-time factors and to generate statistics about environmental factors

Using single valued neutrosophic set to select tourism development strategies in Eastern Serbia

Natural beauties of Eastern Serbia combined with the culture, traditions, food specialties and music, can become a recognizable tourism brand, which could improve the image of this part of Serbia, and that is the reason why Eastern Serbia has been recently discovering its potential for tourism development. The aim of this paper is to analyze the current and potential elements for tourism development of Eastern Serbia's products. Based on the relevant literature and factual situation on the field, the goal is to rank strategies for tourism development on the territory of Eastern Serbia in order to enable better positioning of tourism in Eastern Serbia on the Serbian tourist map. In order to rank tourism development strategies we have used neutrosophic sets. The justification and usability of the proposed approach for the selection of tourism development strategy is demonstrated in the implemented numerical example

An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

This paper proposes a new integrated model based on SWOT and extended PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) that offers a systematic approach to strategic planning in tourism. The applicability of the proposed integrated model is demonstrated through a case study defining the main determinants of tourism development in Serbia. The result emphasizes the strategy Improving the organization, management, and enhancement of tourism development as the highest priority for implementation. The model facilitates decision-making in tourism, and its key advantages are its suitability for application in group decision-making and its simplicity

Implementation of computationally efficient Taguchi robust design procedure for development of ANN fuel consumption prediction models

Reduction of passenger cars fuel consumption and associated emissions are two major goals of sustainable transport over the last years. Passenger car fuel consumption is directly related to a number of technological aspects of a given car, driver behaviour, road and weather conditions and, especially at urban level, road structure and traffic flow and conditions. In this paper, passenger car fuel consumption was assumed to be a function of three input variables, i.e. day of week, hour of day and city zone. Over the period of 6 months (during 2015) a car was driven in the randomly chosen routes in the city of Niš (Serbia) in the period from 8 to 23 h. The fuel consumption data recorded through on-board diagnostics equipment were used for the development of Artificial Neural Network (ANN) models. In order to efficiently deal with a number of ANN design issues, to avoid usual trial and error procedure and develop robust, high performance ANN models, the Taguchi method was applied. For experimentation with ANN design parameters (transfer function, the number of neurons in the first hidden layer, the number of neurons in the second hidden layer, training algorithm), the standard L18 orthogonal array with two replications was selected. Statistical results indicate the dominant influence of the training algorithm, followed by the ANN topology, i.e. interaction of the number of neurons in hidden layers, on the ANN models performance. It has been observed that 3-8-8-1 ANN model represents an optimal model for prediction of passenger car fuel consumption. This model has logistic sigmoid transfer functions in hidden layers trained with scaled conjugate gradient algorithm. By using the Taguchi optimized ANN models, analysis of passenger car fuel consumption has been discussed based on traffic conditions, i.e. different days of the week and hours of the day, for each city zone and separately for summer and winter periods

Selection of software testing method by using ARAS method

The accelerated development of informatics and computing in the last decades has led software to become present in all segments of the society. When the presence and value of software began to grow, software testing has become a very important activity in software development. Software has become indispensable in the economy, education, healthcare, communications, the media, politics, etc. Software errors can cause huge pecuniary damages, as well as non-material losses (reputation, honour ...) so they must be eliminated as early as possible. It is important to recognize the importance of software testing as a basic phase in the software development cycle. Testing helps in reducing the risk of product failure and ensures that the product meets business and technical requirements. Therefore, the main goal of this paper is to present an approach based on multiple-criteria decision-making methods in the selection of software testing method. For the selection of alternatives, in our case software testing methods, Additive Ratio Assessment (ARAS) method is applied. Applicability, usability and efficacy of the proposed approach is demonstrated on conducted illustrative example of selection of software testing method

An approach to the production plant location selection based on the use of the Atanassov interval-valued intuitionistic fuzzy sets

Location planning is one of very important tasks in the manufacturing industry. There are various factors that influence the selection of a location of a production plant. In cases of selection, when uncertainty and a need for predicting are significantly manifested, the use of fuzzy or grey numbers can be very useful. That is why an approach based on the use of Interval-Valued Intuitionistic Fuzzy Numbers (IVIFNs) for the selection of the most appropriate location of a production plant is considered in this article. The efficiency of the proposed approach is considered on an example, based on the real problem of the smelter and refinery production plant selection. First Published Online: 7 May 201

Wybór projektu ośrodka przy użyciu programowania kompromisowego

Serbia is a landlocked country deprived of the possibility of developing maritime tourism. On the other hand, it has the opportunity to develop the other types of tourism, such as: mountain tourism, spa tourism, rural tourism, etc. Serbia has to improve its tourism infrastructure in order to achieve better quality and meet tourists’ requirements. In that sense, it is necessary to enhance the number of the accommodation facilities that will meet set standards. The selection of the type of the accommodation facility, as well as its location, is a very delicate issue because the right choice influences future operations and revenue. Making a decision without considering the problem from every available aspect could lead to making the wrong decisions. Multiple Criteria Decision Making methods are imposed as the logical approach to solving problems in an effective manner. In this paper, the ranking and selection of the optimal resort project focused on the tourism development of Bačka and is performed using compromise programming.Wybór obiektu noclegowego i jego lokalizacji jest kwestią bardzo delikatną, ponieważ właściwy wybór ma wpływ na przyszłe operacje i przychody. Podjęcie decyzji bez rozważenia każdego możliwego aspektu tego zagadnienia może prowadzić do nieoczekiwanych rezultatów. Stosuje się metodę wielokryterialnego podejmowania decyzji (ang. multiple criteria decision making, MCDM), ponieważ logiczne podejście do skutecznego rozwiązywania problemów jest nieefektywne. W niniejszym artykule proponuje się zastosowanie programowania kompromisowego do wyboru optymalnego projektu ośrodka dla inwestycji. Zastosowanie tej metodologii ukazano na przykładzie czterech projektów resortów w Bačce, zachodniej Wojwodinie, w Serbii. Zostały one wybrane na podstawie sześciu kryteriów, których wagi są określane przy użyciu metody SWARA

USING SINGLE VALUED NEUTROSOPHIC SET TO SELECT TOURISM DEVELOPMENT STRATEGIES IN EASTERN SERBIA

Natural beauties of Eastern Serbia combined with the culture, traditions, food specialties and music, can become a recognizable tourism brand, which could improve the image of this part of Serbia, and that is the reason why Eastern Serbia has been recently discovering its potential for tourism development. The aim of this paper is to analyze the current and potential elements for tourism development of Eastern Serbias products. Based on the relevant literature and factual situation on the feld, the goal is to rank strategies for tourism development on the territory of Eastern Serbia in order to enable better positioning of tourism in Eastern Serbia on the Serbian tourist map. In order to rank tourism development strategies we have used neutrosophic sets. The justification and usability of the proposed approach for the selection of tourism development strategy is demonstrated in the implemented numerical example