Stoyan Tranev
@btu.bg
Faculty of social sciences
University Assen Zlatarov, Burgas
RESEARCH INTERESTS
basics of management, human resource мanagement
Scopus Publications
Scopus Publications
Velichka Traneva and Stoyan Tranev
IOP Publishing
Abstract It is crucial to establish a seasonal dependence on the levels of marine biotoxins in the Black Sea to impose seasonal prohibitions on the gathering of marine species in this sea and safeguard human health. Fisher’s analysis of variance (ANOVA) is a statistical technique for assessing how various variables affect a collection of data. In some cases, research must be carried out in an uncertain environment, with missing or insufficient data. An approach for solving this imprecision when a data set occurs in an ambiguous context is intuitionistic fuzzy logic, which Atanassov introduced in 1983. Compared to fuzzy data, intuitionistic fuzzy (IF) data also has a hesitation degree. In 2020, we first suggested the one-way (1-D) IFANOVA and the software utility for its performance, combining traditional variational analysis with modeling opportunities of Index Matrices (IMs) and Intuitionistic Fuzzy Sets (IFSs). The current study focuses on 1-D IFANOVA of the distribution of marine biotoxins in the Black Sea by the “season” factor on the IF dataset of the number of marine biotoxins for the period from February 1 to July 31, 2021. We will also compare the findings of 1-D IFANOVA and conventional ANOVA performed on the identical data set.
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva and Stoyan Tranev
Springer Nature Switzerland
Velichka Traneva and Stoyan Tranev
Springer Nature Switzerland
Velichka Traneva, Petar Petrov, and Stoyan Tranev
Springer Nature Switzerland
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva, Deyan Mavrov, and Stoyan Tranev
IEEE
Here we propose for the first time a temporal intuitionistic fuzzy extension of the Hungarian method for solving the Travelling Salesman Problem (TIFHA-TSP) based on intuitionistic fuzzy logic and index matrices theories. The time for passing a given route between the settlements depends on different factors. The expert approach is used to determine the intuitionistic fuzzy time values for passing the routes between the settlements. The rating coefficients of the experts take the times into account. We are also developing an application for the algorithm's provision to use it on a real case of TIFHA-TSP.
Velichka Traneva, Deyan Mavrov, and Stoyan Tranev
IEEE
The selection of the most suitable franchisee applicant in an uncertain environment in a particular moment of time is a key decision for a franchisor and the success of a franchising business. In this work, for the first time, we describe a problem for choosing the optimal candidate for the franchise chain and algorithm for a solution in terms of temporal intuitionistic fuzzy pairs and index matrices as a means for data analysis in uncertain conditions over time. We also use our software utility to demonstrate the proposed algorithm and to apply the decision support approach to a franchisee selection for the largest fast food restaurant chain in Bulgaria.
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva, Stoyan Tranev, and Deyan Mavrov
Springer International Publishing
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva, Deyan Mavrov, and Stoyan Tranev
Springer International Publishing
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Velichka Traneva, Stoyan Tranev, and Deyan Mavrov
IEEE
Selecting a suitable outsourcing service provider is a challenging problem that requires discussion among a group of experts. The problems of this type belongs to the area of multicriteria decision-making. Interval-valued intuitionistic fuzzy sets, which are an extension of intuitionistic fuzzy sets, are a capable tool in modeling uncertain problems. In this paper we will formulate an optimal interval-valued intuitionistic fuzzy multicriteria decision-making problem in outsourcing and propose a new approach for the selection of the most appropriate candidates; as well as a software program for its automated solution, based on our previous libraries. As an example of a case study, an application of the algorithm on real data from a refinery is demonstrated.
Velichka Traneva and Stoyan Tranev
IOS Press
Analysis of variance (ANOVA) is an important method in data analysis, which was developed by Fisher. There are situations when there is impreciseness in data In order to analyze such data, the aim of this paper is to introduce for the first time an intuitionistic fuzzy two-factor ANOVA (2-D IFANOVA) without replication as an extension of the classical ANOVA and the one-way IFANOVA for a case where the data are intuitionistic fuzzy rather than real numbers. The proposed approach employs the apparatus of intuitionistic fuzzy sets (IFSs) and index matrices (IMs). The paper also analyzes a unique set of data on daily ticket sales for a year in a multiplex of Cinema City Bulgaria, part of Cineworld PLC Group, applying the two-factor ANOVA and the proposed 2-D IFANOVA to study the influence of “ season ” and “ ticket price ” factors. A comparative analysis of the results, obtained after the application of ANOVA and 2-D IFANOVA over the real data set, is also presented.
Velichka Traneva and Stoyan Tranev
Springer International Publishing
Veselina Bureva, Velichka Traneva, Dafina Zoteva, and Stoyan Tranev
Springer International Publishing
Cluster analysis searches for similarities between data objects according to their characteristics and groups the similar objects into clusters. One of the techniques which combines subspace grid-based clustering and density-based cluster analysis, namely Clustering In Quest (CLIQUE), is studied in the present research. The main steps performed in the process of detecting groups of objects with similar behaviour are: dividing the data space into a finite number of cells, forming a grid-based structure, detecting groups of similar objects and defining the clusters.
Velichka Traneva and Stoyan Tranev
Springer International Publishing