Multi–Objective Optimization of Well–Being in the Eu-Ropean Union Member STATES

Abstract

can be considered as those peculiar with relatively lowest well-being.

A Method of Multi-Attribute Assessment Using Ideal Alternative: Choosing an Apartment With Optimal Indoor Environment

“…Quite a number of methods have been proposed for solving multi-attribute decision making (MaDM) problems. MaDM methods are successfully applied in a great number of areas, like: risk analysis (Zavadskas et al, 2010a;Banaitienė et al, 2011), optimization of well being (Balezentis et al, 2011) , doppler selection (Baležentis and Baležentis, 2011), assessment of building redevelopment in lithuanian rural areas (antucheviciene et al, 2010), the assessment of sustainability of a residential building (Medineckiene et al, 2011), the facilities sector (Brauers and Zavadskas, 2009), selection management strategy , assessment of partnering relations in construction enterprises (Radziszewska-Zielina, 2010), evaluation of contracts for con-struction (Podvezko et al, 2010), design of coordinated energy and environmental policies (greening and Bernow, 2004), building refurbishment (Kaklauskas et al, 2005), passive houses multiple criteria analysis (Kaklauskas et al, 2011), renovation (Martinaitis et al, 2007;Martinaitis et al, 2004;Zavadskas et al, 2008) and revitalization (Antucheviciene et al, 2011), selection the most appropriate and safe foundation instalment alternative for building (Zavadskas et al, 2010b), indoor environment analysis Mui and chan, 2006;rutman et al, 2005;Wong et al, 2006), regional development in lithuania considering multiple objectives by the Moora method (Brauers et al, 2010), MultiMoora for the EU member states updated with fuzzy number theory (Brauers et al, 2011), risk analysis (Yazdani et al, 2011), etc.…”

Lithuanian Case Study of Masonry Buildings From the Soviet Period

“…Multi-objective techniques seem to be an appropriate tool for ranking or selecting one or more alternatives from a set of available options based on the multiple, sometimes conflicting objectives. A large number of methods have been developed for solving multi-objective problems (Balezentis et al 2011;Zavadskas et al 2010;Medineckiene et al 2011). Multi-objective optimisation frameworks vary from simple approaches, requiring very little information, to methods based on mathematical programming techniques, requiring extensive information on each objective and on the preferences of the stakeholders.…”

Competency‐based IT personnel selection using a hybrid SWARA and ARAS‐G methodology

“…Considering the RBV of the firm, many researchers confirm that strategic HRM (human resource management) activities make a vital contri-bution in creating sustainable competitive advantages that are highly imitable and rare or difficult to imitate by the rivals (Bali, Gümüş, & Dagdeviren, 2013;Huang, Wan, & Tzeng, 2011;Rouyendegh & Erkan, 2013;Zolfani & Banihashemi, 2014). That is why selecting the right people for the right positions is known as an essential issue of organizational management (Aksakal, Dagdeviren, Eraslan, & Yüksel, 2013), and personnel selection is the major process of HRM practices in all organizations (Baležentis, Baležentis, & Brauers, 2011). Indeed, many companies are increasingly focused on designing appropriate strategies for selecting the most competent employees (Aggarwal, 2013), because in present-day competitive markets, the future success of all companies largely depends on employee knowledge, skills, and abilities (Güngör et al, 2009).…”

“…Further, it can be defined as a vague, subjective problem (Polychroniou & Giannikos, 2009), as it depends on factors such as organizational goals, available tools, and individual opinions of decision makers (Kelemenis & Askounis, 2010). With regard to the importance and complexity of the procedure of personnel selection, as well as the multicriteria nature of this problem, multicriteria decisionmaking (MCDM) methods have been proposed to select the best candidate (Baležentis et al, 2011;Dursun & Karsak, 2010;Kabak et al, 2012;Zhang & Liu, 2011).…”