Application of heuristic procedure for multi-criteria optimization to select optimal version of IP network speech codec

Melnikova, Liubov; Linnyk, Elena; Kryvoshapka, Mykola; Barsuk, Valerii

doi:10.30837/pt.2020.1.02

Cited by 2 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Step 5. Calculate the distance from each alternative to the ideal A  and anti-ideal A  according to formula (7):…”

Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

“…The problem of making rational equipment choices in the design of telecommunication networks is currently highly relevant and has been explored by A. Zhanasbayeva et al [5], V. Bezruk et al [6], L. Melnikova et al [7], G. Gaivoronska and B. Rybalov [8], M. Kolisnyk [9], Pidchenko S. et al [10].…”

Section: State Of the Artmentioning

confidence: 99%

“…(5,7,9) Very good (VG) (7,9,9) To aggregate expert opinions, the concepts of geometric mean, arithmetic mean, or other ideas are usually used to help determine aggregate estimates of the weights of criteria and alternatives by criteria. Scientists, in particular, Chen, Kacprzak [4], Nãdãban [14], proposed different approaches to aggregating expert opinions.…”

Section: Table 2 Linguistic Terms For Alternatives [22] Linguistic Termsmentioning

confidence: 99%

See 2 more Smart Citations

Multi-criteria model for selection of optical linear terminals based on FUZZY TOPSIS method

Pidchenko,

Kucheruk,

Drach

et al. 2024

reks

View full text Add to dashboard Cite

Optical networks are an integral part of modern telecommunication systems. Huge traffic and ever-increasing requirements for data transmission capacity and quality encourage the wider use of modern optical technologies in telecommunications. The rational choice of equipment for the design of optical networks is an urgent task at present. The subject of this study is the process of selecting optical line terminals, which is associated with the evaluation of possible options by a set of indicators. The OLT (optical line terminal) in PON technology implements the function of organizing subscriber lines and is also a node equipment - an L4 switch that combines the functions of routing (IP), traffic fragmentation (VLAN), switching (MAC), quality of service (QoS), and some necessary network service functions. The optimal structuring of PON access networks demands a judicious selection of software and hardware, guided by their tactical and technical characteristics, in view of the substantial information load they entail. One of the effective approaches to solving such problems is the use of MCDM (Multiple Criteria Decision Making) methods. Purpose: to construct a TOPSIS model of the optimal choice of optical linear terminals in the conditions of unclear information for different cases of aggregation of evaluations of decision makers. Task: to formalize the process of selecting optical linear terminals; develop a multi-criteria mathematical model for the effective selection of optical line terminals. Methods used in the study: The fuzzy TOPSIS method, four methods of aggregating the opinions of decision makers. The following results were obtained. Alternatives and criteria for their evaluation are defined. On the basis of interviews with decision makers, evaluations of the degree of importance of the criteria and alternatives to the criteria were determined. Linguistic changes were used to describe decision-makers’ evaluations, which were interpreted as triangular fuzzy numbers. During this study, four methods of aggregating the evaluations of decision makers were used. A fuzzy TOPSIS model for selecting an optical line terminal is constructed. The ranking of the selected optical line terminals is obtained and the best alternative is determined. The results of modeling with different methods of aggregating assessments of decision makers are compared. Conclusions. The use of the Fuzzy TOPSIS method for optimal selection of optical linear terminals is proposed. The influence of the methods of aggregation of evaluations of decision-makers is analyzed.

show abstract

“…Step 5. Calculate the distance from each alternative to the ideal A  and anti-ideal A  according to formula (7):…”

Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: Table 2 Linguistic Terms For Alternatives [22] Linguistic Termsmentioning

confidence: 99%

See 1 more Smart Citation

Multi-criteria model for selection of optical linear terminals based on FUZZY TOPSIS method

Pidchenko,

Kucheruk,

Drach

et al. 2024

reks

View full text Add to dashboard Cite

show abstract

“…In the article by V. Bezruk et al [8,9], the selection of equipment was carried out using methods of fuzzy set theory and the AHP method. In the work of L. Melnikova et al [10], a heuristic procedure for multi-criteria selection of telecommunication equipment, in particular, a speech codec, was proposed.…”

Section: Introductionmentioning

confidence: 99%

A multi-criteria approach to decision-making in telecommunication network components selection

Pidchenko¹,

Kucheruk²,

Pyvovar³

et al. 2023

reks

View full text Add to dashboard Cite

The problem of decision-making regarding the selection of the optimal composition of telecommunication network components is very urgent. The subject of the research in the article is a multi-criteria approach to the selection of telecommunication network components. This approach is related to the evaluation of possible options based on a set of indicators. The set of such indicators is determined by the specifics of a telecommunication network. One of the most dominant devices in telecommunication (mobile) systems is speech codecs. When choosing the appropriate codec configuration, there is a need to make a decision considering a set of contradicting criteria. The use of MCDM (Multiple Criteria Decision Making) methods when making decisions is a promising approach to solving such problems. The current article increases the efficiency of the multi-criteria approach to decision-making in the process of selecting telecommunication network components, in particular, a speech codec. The following methods were used: MARCOS (Measurement Alternatives and Ranking according to COmpromise Solution), entropy, CRITIC (Criteria Importance Through Inter-criteria Correlation) and BWM (Best–Worst method). The following results were obtained. Determining the weight of the criteria by which alternatives are evaluated is one of the key problems that arise when making multi-criteria decisions. Objective methods of entropy, CRITIC, and subjective BWM methods were used to find weighting factors of criteria. Different methods of determining the weights of the criteria give different values. The use of the combined BWM-CRITIC method is proposed, which balances the subjective opinions of experts and assessments made solely based on the decision matrix data. The values of the correlation coefficients showed a close relationship between the weights of the criteria determined by different methods. However, the strongest connection with other methods was shown by the combined BWM-CRITIC method. The MARCOS method was used to rank the alternatives and select the best alternative. A ranking of the set of speech codecs is obtained, which allows for determining the best alternative Conclusion. A comprehensive approach to the telecommunication network component selection is proposed, namely the multi-criteria BWM-CRITIC-MARCOS model, based on a combination of MCDM methods. The integration of methods into the proposed model provides a systematic approach to the assessment and selection of telecommunication network components.

show abstract

Application of heuristic procedure for multi-criteria optimization to select optimal version of IP network speech codec

Cited by 2 publications

References 1 publication

Multi-criteria model for selection of optical linear terminals based on FUZZY TOPSIS method

Multi-criteria model for selection of optical linear terminals based on FUZZY TOPSIS method

A multi-criteria approach to decision-making in telecommunication network components selection

Contact Info

Product

Resources

About