Multiple criteria approach in the mining method selection

Karabašević, Darjan; Đorđević, Bojan; Milanović, Dragan

doi:10.5937/industrija47-24128

Cited by 13 publications

(7 citation statements)

References 24 publications

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“…The pivot pairwise relative criteria importance assessment (PIPRECIA) method for determining the weights of criteria was proposed by Stanujkic et al [46], as one of the extensions of the step-wise weight assessment ratio analysis (SWARA) method. Although it is a relatively new method, so far, the PIPRECIA method is applied for solving problems of personnel selection [47], assessment of ICT [48,49], supplier selection [50], mining method selection [51], and so forth.…”

Section: Piprecia Methodsmentioning

confidence: 99%

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

et al. 2020

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The development of information and communication technologies has revolutionized and changed the way we do business in various areas. The field of education did not remain immune to the mentioned changes; there was a gradual integration of the educational process and the mentioned technologies. As a result, platforms for distance learning, as well as the organization of e-learning courses of various types, have been developed. The rapid development of e-learning courses has led to the problem of e-learning course selection and evaluation. The problem of the e-learning course selection can be successfully solved by using multiple-criteria decision-making (MCDM) methods. Therefore, the aim of the paper is to propose an integrated approach based on the MCDM methods and symmetry principles for e-learning course selection. The pivot pairwise relative criteria importance assessment (PIPRECIA) method is used for determining the weights of criteria, and the interval-valued triangular fuzzy additive ratio assessment (ARAS) method is used for the ranking of alternatives i.e., e-learning courses. The suitability of the proposed integrated model is demonstrated through a numerical case study.

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Section: Piprecia Methodsmentioning

confidence: 99%

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

et al. 2020

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“…The fuzzy logic in PIPRECIA method was introduced by [94]. Inclusion of fuzzy logic in decision-making increases the reliability of the decision by minimization of misjudgment possibility [95,96]. The main advantage of the PIPRECIA method is that it allows criteria evaluation without sorting by relevance [97].…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Process Orientation Dimensions in the Apparel Industry

et al. 2020

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The dimensions that influence the establishment of business process management (BPM) practices and the progression to higher levels of process maturity derive from exploring the dimensions of process orientation of organizations. Small and medium-sized clothing enterprises (SME’s) are characterized by various specifics that can affect the degree of process orientation adoption and the pace of transition from lower to higher levels of process maturity. According to these specifics, the acceptance of the process approach may be differently affected. For the purpose of adequate evaluation and prioritization of the most influential dimensions, a new integrated multicriteria decision-making (MCDM) model that combines classical and fuzzy theory was developed. First, the full consistency method (FUCOM) method was applied, followed by the fuzzy pivot pairwise relative criteria importance assessment (fuzzy PIPRECIA) method to obtain more accurate criteria values. Prioritization of the most influential BPM dimension contributes to highlighting the area of business that needs to be primarily strengthened by appropriate actions for successful establishment of BPM in apparel industry SMEs. Within this research, the prioritized dimension refers to human resource management in accordance with the specific aspects of business within the apparel industry.

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“…Stević et al (2018) also introduced a fuzzy extension of the PIPRECIA method that is also used in the decision process (Đalić et al 2020a;Đalić et al 2020b;Memiş et al 2020;Vesković 2020). Extended PIPRECIA is applied for selecting an adequate mining method (Popović, Đorđević and Milanović 2019). In tourism, extended PIPRECIA is used to prioritize projects for developing accommodation facilities (Popović and Mihajlović 2018) and for ranking sustainable indicators for cultural heritage sites (Popovic et al 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

Stanujkić

Mimović

Milovanović

et al. 2021

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This paper proposes a new integrated model based on SWOT and extended PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) that offers a systematic approach to strategic planning in tourism. The applicability of the proposed integrated model is demonstrated through a case study defining the main determinants of tourism development in Serbia. The result emphasizes the strategy Improving the organization, management, and enhancement of tourism development as the highest priority for implementation. The model facilitates decision-making in tourism, and its key advantages are its suitability for application in group decision-making and its simplicity.

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Multiple criteria approach in the mining method selection

Cited by 13 publications

References 24 publications

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

Evaluation of Process Orientation Dimensions in the Apparel Industry

An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

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