Primary research in social sciences is mostly used in survey questionnaires. Within the questionnaire, it is possible to elaborate questions in different ways. However, when measuring the quantitative properties, the most frequently used scale is Likert scale. Responses to statements are constructed in for of language values. In order to show the statistical analysis of the obtained results in the form of language values, it is necessary to convert them into numerical values. The aim of this paper is to show that we can transform linguistic values into numerical values using fuzzy logic and the corresponding methods. The subject of the paper is to offer an innovative methodology for the transformation of linguistic values into numerical ones so that they can be statistically processed. Converting is usually done by assigning a numerical value to a particular statement. If a 7-scale is applied, then transformations into numeric values are made from 1 to 7. For human way of thinking it is easier to use the linguistic value of the answer because it is not possible to give precise answers to some questions. Therefore, this paper presents a methodology in which linguistic values can be converted into numerical values using fuzzy logic. The transformation process is explained by an example variable of supply chain practice.

When making an investment decision the investor has got many alternative investment options available. The task of the investor is to choose one investment that will best accomplish the objectives of the investment project. In order for an investment to be possible, it is common practice to create a document that plans and especially outlines the form of the investment project. In order to choose an investment that best meets the goals of the project, it is necessary to evaluate the project. There are evaluation methods available for the investor to assess the effectiveness of an investment project. The results given by these methods are usually conflicting, thus causing difficulties for the investor's decision-making abilities. This paper presents a model for improving the decision process in investment. The purpose of this model is to indicate the need for using methods such as the multi-criteria analysis method in order to evaluate the effectiveness of an investment. Due to the fact that the results of the evaluation methods are often different, it is necessary to take into account that there are a number of criteria that need to be acknowledged, in order to make the best investment decision. Multi-criteria analysis can be used to rank potential investment projects and enhances the decision-making process that is required to meet the goals of an investment.

The term consumer behavior has become very popular in recent studies. It is characterized by various processes, with consumers purchasing decisions being one of them. This paper explores the way in which demographic characteristics influence purchasing decisions with focus on technical products including household appliances, computers, TV sets and similar technical products that cost more than 400 BAM. The empirical study was conducted in the region of northeast of Bosnia Herzegovina and 192 respondents were included in the study to express their allegations of purchasing decisions. Factor analysis was used to identify broader constructors as a basis for observation of the variables. In total, six variables were identified. Based on the calculation of Cronbach's Alpha indicators, it has been established that there was a low internal affiliation of claims in two variables, upon what they were discarded. Thus, four variables were used to study purchasing decision-making. The results of multivariate analysis of variance (MANOVA) showed that gender, income level and employment status of the respondents significantly influence purchasing decisions among consumers. The analysis of variance (ANOVA) has further shown that females Under the age of 25 and whose income is less than 400 BAM with less than 25 years are generally dedicating to purchasing decisions. The empirical findings showed that the most satisfied with their purchasing decisions are male respondents, whose income varies between 400 BAM and 800 BAM and who belong to the category of students under 25 years.

Aim of this paper was to examine effectiveness of speech and language development examination of persons with hearing impairment in form of applicable diagnostic software in relation to classical approach. Research was conducted on the sample of 45 respondents from the population of students with hearing impairments based on following criteria: degree of impairment above 80 dB, age from 6 to 15 years without any other disabilities. Data was processed with descriptive analysis, Wilcoxon test and t-test. Results of the research confirmed that applicable diagnostic software provide more effective diagnostic procedures for examining of speach and language development of persons with hearing impairment in relation to classical approach.