Browsing by Author "Zavadskas, Edmundas Kazimieras"

Now showing 1 - 8 of 8
  • Thumbnail Image
    Item
    An approach to measuring website quality in the rural tourism industry based on atanassov intuitionistic fuzzy sets
    (Technická Univerzita v Liberci, 2015-12-01) Stanujkic, Dragisa; Zavadskas, Edmundas Kazimieras; Tamošaitienė, Jolanta; Ekonomická fakulta
    Attracting new customers can be identified as one of the key roles websites play in the tourism and hotels industry that can be of special importance for less known tourist destinations, especially for rural tourism. However, some of current researches indicate that many first-time visitors spend a very short time on a particular webpage when accessing a particular website. Therefore, if we presume that the acquisition of new customers is one of the features of a website, such a website should be designed to obtain the attention of the first-time visitors and to keep them.Various elements of websites essential for obtaining the attention of website visitors and crucial for their satisfaction have been identified in numerous studies. As opposed to these studies, this paper focuses on designing a multiple criteria model that could realistically determine the quality of the website from the first-time visitors’ point of view. In order to form a realistic multiple criteria decision making model, the proposed approach is based on the use of a smaller number of criteria that are evaluated using Atanassov fuzzy sets. Also, in order to create a model which as simple as possible, based on Atanassov fuzzy sets, this approach uses the Singleton Intuitionistic Fuzzy Numbers.The use of the proposed approach for assessing the quality of some websites which promote tourist potentials of the Old Mountain indicates the applicability and efficiency of the proposed approach.Finally, with the proposed, or with some other, set of criteria, while retaining a relatively small number of criteria, the proposed approach can be successfully applied to the tourism and hotels industry, as well as to other areas, with the aim of determining the quality of the websites from the first-time visitors’ point of view.
  • Thumbnail Image
    Item
    An attempt to resolve no-wait flow shop scheduling problems using hybrid ant colony and whale optimization algorithms
    (Technická Univerzita v Liberci, ) Rostamzadeh, Reza; Gholipour, Arezou; Komari Alaei, Mohammad Reza; Zavadskas, Edmundas Kazimieras; Saparauskas, Jonas; Ekonomická fakulta
    The incentive for many developments and scientific progresses within the field of scheduling has emerged from industrial environments, and naturally, it could be utilized in expressing the scheduling concepts regarding terms used in the industry. Generally speaking, scheduling problems are known as limited optimization issues through which decisions related to the machines’ assignment and works processing sequence are probed. Thus, following a review of the related literature, the major goal of this research is to design a mathematical model and to solve it through a meta-heuristic for no-wait flow shop scheduling problem using different machines for the purpose of minimizing the time required to complete the work using whale and ant colony optimization (ACO) algorithms in Sanat-Gostar-e-Hamgam Shoe Company. The ACO and whale algorithm methods are used to compare and predict scheduling activities in manufacturing line of shoe industry. The results showed an ACO algorithm with two stages in mean ideal distance (MID) end amounting to 76.65 and 77.38, respectively. Also, regarding the amounts of standard error mean squares, it could be claimed that the model designed using the improved whale algorithm has a better prediction, and the minimum time required to complete works using the whale algorithm is estimated to be equal to 86.1071. This could lead to an optimal state in achieving the predetermined goals.
  • Thumbnail Image
    Item
    Empirical research of users’ opinions on selected aspects in internet financial reporting
    (Technical university of Liberec, Czech Republic, 2017-06-15) Ali, Mohd Noor Azli; Khan, Ismail Noor Azizi; Mardani, Abbas; Zavadskas, Edmundas Kazimieras; Kaklauskas, Arturas; Ekonomická fakulta
    This study investigates the perceptions of users of corporate annual reports in relation to selected aspects of internet financial reporting. This study also analyzes Web analytics (Web usage and Web content analytics) to discover financial and non-financial usage and content patterns from company websites and other sources of World data. The case studies submitted in this article partly demonstrates the developed Web analytics systems. To serve this purpose, a questionnaire was distributed to five user groups (academics, students, managers, bank officers and auditors). From the survey, the analysis indicates that attracting’s foreign investors, promoting the company to a wider public, attract local investors and promote wider coverage are the four most important benefits of IFR to the company. The findings revealed that three main benefits to the users who collect financial information of companies via their website are: increases timeliness and efficiency in obtaining financial information, makes investment decision process easier and faster, and provides information about a company inexpensively. Preliminary findings suggested three factors that are perceived as important by responding firms to engage in IFR: enhance corporate image, company teller with the technology development, and competitors in the industry. The findings also revealed three factors that inhibit firms from engaging in IFR: required expertise from the company, need to keep information up to date to be of use and concern over security of information. The findings also suggested increased information and analysis, and global reach and mass communication as the most important advantages from financial reporting on the internet. On the other hand, security problems, and cost and expertise are the biggest disadvantages of placing financial information on the internet. Finally, plausible implications of the findings of the study are then presented and areas for future research are also proposed. Taken together, these research outcomes make an incremental contribution to the existing financial reporting literature by providing useful insights into our knowledge of IFR especially for emerging capital markets like Malaysia.
  • Thumbnail Image
    Item
    A grey multi-objective linear model to find critical path of a project by using time, cost, quality and risk parameters
    (Technická Univerzita v Liberci, 2016-03-09) Mahdiraji, Hannan Amoozad; Hajiagha, Seyed Hossein Razavi; Hashemi, Shide Sadat; Zavadskas, Edmundas Kazimieras; Ekonomická fakulta
    A project is a series of related activities which are organized to reach a defined goal or satisfy a certain need. Project management plays an important role in different fields of human life. The amount of resources spent on a project renders management of these resources a sensitive task. Determinant factors’ influencing the payoffs of a project mainly encompasses time, cost, quality and also the risk of each activity. Therefore, a critical path method is presented to find the longest path of a project completion time in order to draw managers’ attention to the critical activities. Critical path method is a well-known and widely accepted method to find the critical activities of a project and to concentrate on them for accomplishment of the project without any deviation. Classical critical path methods usually consider only a time factor, but growing complexity and importance of projects entail cost, quality and risk as the critical factors to be considered in project management. Due to the unavailability of certain information relating each factor of each activity, considering a novel approach to deal with such vague and unstable situations is really a controversial issue. Thus, another challenge of the project management contains uncertainty for approximating time, cost, quality, and risk factors of the project activities. Taking into account these two challenges, a grey multi-objective critical path model is proposed in this paper, where parameters of the activities are evaluated as grey numbers, dealing with their uncertainty. Meanwhile, a goal programming based method is illustrated to solve the problem of critical path identification, considering four considerable criteria including time, cost, quality, and risk. Eventually, a numerical example is represented to address applicability of the proposed method.
  • Thumbnail Image
    Item
    Multi-criteria group decision-making using an extended edas method with interval type-2 fuzzy sets
    (Technical university of Liberec, Czech Republic, 2017-03-15) Ghorabaee, Mehdi Keshavarz; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Ekonomická fakulta
    Multi-criteria decision-making (MCDM) methods are very useful in the real-world decision-making problems. We are usually confronted with the decision-making process in an uncertain environment, and the fuzzy set theory is an efficient tool to handle this uncertainty. Interval type-2 fuzzy sets are one of the extensions of the fuzzy sets which are very flexible to model an uncertain environment. This study is related to MCDM problems within the context of interval type-2 fuzzy sets (IT2FSs). The evaluation based on distance from average solution (EDAS) method is a new and efficient MCDM method, and assessment of alternatives in this method is based on the distance of them from average solution with respect to all criteria. In the EDAS method, each alternative has positive and negative distances which are used to determine the appraisal score of it. In this research, we present an extended EDAS method, which is named EDAS-IT2FSs, for dealing with multi-criteria group decision-making problems with interval type-2 fuzzy sets. Basic concepts of interval type-2 fuzzy sets and the arithmetic operations of trapezoidal IT2FSs are used to develop the extended EDAS method. A numerical example of multi-criteria subcontractor evaluation problem is used to illustrate the process of using the extended EDAS method. The example involves eight subcontractors that need to be evaluated with respect to seven criteria. A comparison and a sensitivity analysis based on different sets of criteria weights are also performed to show the validity of the proposed method. The results of these analyses show the efficiency and stability of the extended EDAS method.
  • Thumbnail Image
    Item
    Prospective MADM and Sensitivity Analysis of the Experts Based on Causal Layered Analysis (CLA)
    (Technická Univerzita v Liberci, ) Hashemkhani Zolfani, Sarfaraz; Yazdani, Morteza; Zavadskas, Edmundas Kazimieras; Hasheminasab, Hamidreza; Ekonomická fakulta
    “Multiple Attribute Decision Making (MADM)” is an expert based field which is working based on real data and experts’ opinions. So many studies have been doing based on MADM methods which they usually use qualitative data based on experts’ ideas. Decisions based on the experts’ opinion shall be carefully designed to cope the real problems uncertainty. This uncertainty will be even more intricate if combining the problem with the ambiguity of the future study. Prospective MADM is a future based type of MADM field which is concentrating on decision making and policy making about the future. Prospective MADM (PMADM) can have both explorative and descriptive paradigms in the studies but it will more useful to be applied for strategic planning. In this regard, experts’ role would be even more challenging because one/some possible future/futures will be partially designed based on their opinions. Future and prediction always complicates the decision environment, especially methodologies founded on experts’ judgement. Considering experts’ preferences, attitude, and background, they may be a major source of inaccurate results. Causal Layered Analysis (CLA) is well-known “Futures Studies” method which is qualitative and usually is supporting other methods such as “Backcasting” and “Scenario Planning”. CLA has a deep point of view to the subjects to support a future with all those changes which are necessary for the main goal/goals. In this study, this idea will be proposed that CLA can be added to PMADM outline to decrease the risk of unsuitable decisions for the future and for this aim a case study about energy and CO2 consumption in policy making level proposed and a hybrid MADM method based on BWM-CoCoSo applied in the PMADM outline for the procedure.
  • Thumbnail Image
    Item
    Ranking of priorities among the baltic capital cities for the development of sustainable construction
    (Technická Univerzita v Liberci, 2015-06-03) Lazauskas, Marius; Zavadskas, Edmundas Kazimieras; Šaparauskas, Jonas; Ekonomická fakulta
    Crisis of the real estate sector resulted in disadvantageous conditions for legal entities operating in the fi eld of construction and implementation of new property development projects. As a result, many such entities started investigating their options to offer construction services and products to more economically attractive foreign markets. This necessitates the need to assess the effectiveness of investments into new markets, considering the current developmental trends of the construction sector, which are related to implementation of sustainable construction projects. Close cooperation of Baltic States at the national level and joint activities of several construction market participants predetermine the necessity to assess biggest cities of Lithuania, Latvia, and Estonia being the potential market of construction sector to be selected as a target segment of effi cient development of construction needs.These are the reasons behind the creation of a typical calculation model, which could be adapted for an effective and uncomplicated assessment of investment rationale in new markets while ensuring the adherence to principles of sustainable development. Assessment of potential capabilities of a construction sector of three Baltic capitals (Vilnius, Riga, Tallinn) could provide the opportunity to direct capital and investments of construction market participants in the wore effi cient way and create the highest added value for the economy, residents and development of sustainable environments. Identifi cation of project implementation area is a key factor in determining directions of the activity performed by private investors, performed in order to assess the opportunity of effi cient realisation of construction project proposed for implementation with particular environment. A multiple-criteria task is formulated, which aims to determine the rank of priorities among cities of the Baltic states; and multi-criteria methods MOORA and MULTIMOORA are used for decision-making.
  • Thumbnail Image
    Item
    Sequence determining of construction of the offshore wind farm construction applying permutation method
    (Technická Univerzita v Liberci, 2014-09-04) Bagočius, Vygantas; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Ekonomická fakulta
    Ranking of work or feasible investments is one of high-importance keys for successful economic development. The share of renewable energy sources in the Lithuanian primary energy supply is on the lowest among EU. Only bio fuel, hydro and wind power can be considered as potential renewable energy sources in Lithuania at present time. Wind energy generation mature technology and comparatively low cost make it promising as an important primary energy source in the nearest future. The aim of this paper is to determine the sequence for the wind turbine construction in the waters of Lithuania. The key criteria set for was determined for the problem solution: area of the territory, water depth, distance to shore, average wind velocity, max power on the area, amount of energy per year, investments and CO2. AHP method is used to estimate criteria weights. The problem was solved applying multi-attribute permutation method. This method allows dealing with qualitative and quantitative as well as with linguistic (verbal) data.