demonstrating the properties of the method COPRAS, which are of great theoretical and practical value. All theoretical statements are illustrated by numerous examples and calculations.

In multiple criteria evaluation, criteria weights are of great importance. In practice, subjective criteria weights determined by specialists/experts are commonly used. The types of elements of a decision matrix also play an important role in the evaluation of alternatives. The objective weights help to estimate the structure of data. The entropy method is widely used for determining the weights (significances) of criteria. A new method of the criterion impact loss, CILOS, is used for determining a relative impact loss experienced by the criterion of an alternative, when another criterion is chosen to be the best. The authors of the paper have combined the best features of the entropy method and the CILOS approach to obtain a new method – Integrated Determination of Objective CRIteria Weights, or (IDOCRIW).

Abstract. Recently, the use of multicriteria quantitative evaluation methods for solving social and economic problems has grown considerably. One of two major components of quantitative multicriteria evaluation methods strongly infl uencing the evaluation results is associated with the criteria weights. In practice, the criteria weights are determined in assessing the economic development of the state and its regions, the commercial activity and strategic potential of enterprises, the effectiveness of particular investment projects, etc. Several theoretical and practical methods of determining the signifi cance (weight) of criteria by experts are known. Pairwise comparison of criteria is widely applied, and the most well-known, widely applied and mathematically grounded technique is the so-called Analytic Hierarchy Process (AHP). However, the application of this method is limited because of a great number of evaluation criteria, contradicting expert estimates and incompatible matrices obtained. In the present paper, the application of AHP technique to more complicated cases is considered and some algorithms are offered.

This paper proposes the Analytic Hierarchy Process (AHP) as a tool to rank different critical success factors (CSFs) for construction projects in Lithuania. Considering the current lack of understanding of CSFs within the local context, this study is one of the first attempts to gain an understanding of the CSFs in the local industry. Our study revealed that, for construction projects in Lithuania, clear and realistic project goals, project planning, the project manager's competence, relevant past experience of the project management/team, the competence of the project management/team, clear and precise goals/objectives of the client, the project's value, the project's complexity and uniqueness, the project manager's experience, and the client's ability to make timely decisions are the top-ranking CSFs. In view of these findings, the study highlighted the key areas for successful implementation of construction projects in Lithuania.

Urbanization has a massive effect on the environment, both locally and globally. With an ever-increasing scale of construction and manufacturing and misuse of energy resources come poorer air quality, growing mortality rates and more rapid climate change. For these reasons, a healthy and safe built environment is ever more in demand. Global debates focus on sustainable development of the built environment; a rational approach to its analysis is multiple criteria decision making (MCDM) methods. Alternative MCDM methods applied to the same problem often produce different results. In the search for a more reliable tool, this study proposes that a system of MCDM methods should be applied to a single problem. This article assesses 21 neighborhoods in Vilnius in the context of a healthy and safe built environment in view of the principles of sustainable development. MCDM methods were used for this purpose: entropy, Criterion Impact LOSs (CILOS) and Integrated Determination of Objective Criteria Weights (IDOCRIW) methods were used to determine the objective weights of the criteria, while expert judgement determined the subjective weights. With the overall weights determined, the Vilnius neighborhoods were assessed through the application of COmplex PRoportional ASsessment (COPRAS), Simple Additive Weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Evaluation based on Distance from Average Solution (EDAS) methods. The final results were then processed using the rank average method, Borda count and Copeland's method.