M-generalised q-neutrosophic extension of CoCoSo method
DOI:
https://doi.org/10.15837/ijccc.2022.1.4646Keywords:
Multi-criteria decision making, CoCoSo, Neutrosophic sets, retrofit strategyAbstract
Nowadays fuzzy approaches gain popularity to model multi-criteria decision making (MCDM) problems emerging in real-life applications. Modern modelling trends in this field include evaluation of the criteria information uncertainty and vagueness. Traditional neutrosophic sets are considered as the effective tool to express uncertainty of the information. However, in some cases, it cannot cover all recently proposed cases of the fuzzy sets. The m-generalized q-neutrosophic sets (mGqNNs) can effectively deal with this situation. The novel MCDM methodology CoCoSomGqNN is presented in this paper. An illustrative example presents the analysis of the effectiveness of different retrofit strategy selection decisions for the application in the civil engineering industry.
References
[1] Alrasheedi, M.; Mardani, A., Mishra, A.R.; Streimikiene, D.; Liao, H.; Al-Nefaie, A.H. (2020). Evaluating the Green Growth Indicators to Achieve Sustainable Development: A Novel Extended Interval-valued Intuitionistic Fuzzy-combined Compromise Solution Approach, Sustainable Development, 29(1), 120-142, 2020. https://doi.org/10.1002/sd.2136
[2] Bausys R.; Lescauskiene I.; Semenas R. (2021). Participant trustworthiness analysis in the gamebased urban planning processes by PROMETHEE-mGqNN approach, Journal of civil engineering and management, 27(6), 427-440, 2021. https://doi.org/10.3846/jcem.2021.15263
[3] Ecer, F.; Pamucar, D.; Hashemkhani Zolfani, S.; Keshavarz Eshkalag, M. (2019). Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool, Journal of Cleaner Production, 241, 118324, 2019. https://doi.org/10.1016/j.jclepro.2019.118324
[4] Ecer, F.; Pamucar, D. (2020). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo'B) multi-criteria model, Journal of Cleaner Production, 266, 121981, 2020. https://doi.org/10.1016/j.jclepro.2020.121981
[5] Hafezalkotob, A.; Hafezalkotob, A.; Liao, H.; Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: theory, developments, applications, and challenges, Information Fusion, 51, 145-177, 2019. https://doi.org/10.1016/j.inffus.2018.12.002
[6] Ijadi Maghsoodi, A.; Soudian, S.; MartAnez, L.; Herrera-Viedma, E.; Zavadskas, E. K. (2020). A phase change material selection using the interval-valued target-based BWMCoCoMULTIMOORA approach: A case-study on interior building applications, Applied Soft Computing, 95, 106508, 2020. https://doi.org/10.1016/j.asoc.2020.106508
[7] Kieu, P.T.; Nguyen, V.T.; Nguyen, V.T.; Ho, T.P. (2021) A Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm in Distribution Center Location Selection: A Case Study in Agricultural Supply Chain, Axioms, 10, 53, 2021. https://doi.org/10.3390/axioms10020053
[8] Liao, H.; Qin, R.; Wu, D.; Yazdani, M.; Zavadskas, E.K. (2020). Pythagorean fuzzy combined compromise solution method integrating the cumulative prospect theory and combined weights for cold chain logistics distribution center selection, International Journal of Intelligent Systems, 35, 2009-2031, 2020. https://doi.org/10.1002/int.22281
[9] Luo, Y.; Zhang, X.; Qin, Y.; Yang, Z.; Liang, Y. (2021). Tourism Attraction Selection with Sentiment Analysis of Online Reviews Based on Probabilistic Linguistic Term Sets and the IDOCRIWCOCOSO Model, International Journal of Fuzzy Systems, 23, 295-308, 2021. https://doi.org/10.1007/s40815-020-00969-9
[10] Majidi, A.; Mirzapour Al-e-Hashem, S.M.J.; Hashemkhani Zolfani, S.(2021) Sustainability Ranking of the Iranian Major Ports by Using MCDM Methods, Mathematics, 9, 2451, 2021. https://doi.org/10.3390/math9192451
[11] Mi X.; Liao H. (2020). Renewable energy investments by a combined compromise solution method with stochastic information, Journal of Cleaner Production, 276, 123351, 2020. https://doi.org/10.1016/j.jclepro.2020.123351
[12] Pamucar D.; Deveci M.; Gokasar I.; Isik M.; Zivovic M. (2021). Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model, Journal of Cleaner Production, 323, 129096, 2021. https://doi.org/10.1016/j.jclepro.2021.129096
[13] Peng, X.; Huang, H. (2020). Fuzzy decision making method based on CoCoSo with critic for financial risk evaluation, Technological and Economic Development of Economy, 26(4), 695-724, 2020. https://doi.org/10.3846/tede.2020.11920
[14] Peng, X.; Zhang, X.; Luo, Z. (2020). Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation, Artificial Intelligence Review, 53, 3813- 3847, 2020. https://doi.org/10.1007/s10462-019-09780-x
[15] Peng, X.; Li, W. (2021). Spherical fuzzy decision making method based on combined compromise solution for IIoT industry evaluation, Artificial Intelligence Review. https://doi.org/10.1007/s10462-021-10055-7
[16] Peng, X.; Garg, H. (2021). Intuitionistic fuzzy soft decision making method based on Co- CoSo and CRITIC for CCN cache placement strategy selection, Artificial Intelligence Review, https://doi.org/10.1007/s10462-021-09995-x
[17] Rani, P.; Mishra, A.R. (2020). Novel single-valued neutrosophic combined compromise solution approach for sustainable waste electrical and electronics equipment recycling partner selection, IEEE Trans. Eng. Manag., 1-15, 2020. https://doi.org/10.1109/TEM.2020.3033121
[18] Semenas, R.; Bausys, R.; Zavadskas, E. K. (2021). A Novel Environment Exploration Strategy by m-generalised q-neutrosophic WASPAS, Studies in Informatics and Control, 30(3), 19-28, 2021. https://doi.org/10.24846/v30i3y202102
[19] Smarandache, F. A. (1999). Unifying Field in Logics. Neutrosophy: Neutrosophic Probability, Set and Logic, Book Chapter, American Research Press: Rehoboth, DE, USA, 1999.
[20] Smarandache, F. (2019). Neutrosophic set is a generalization of intuitionistic fuzzy set, inconsistent intuitionistic fuzzy set, pythagorean fuzzy set, q-rung orthopair fuzzy set, spherical fuzzy set and n-hyperbolic fuzzy set while neutrosophication is a generalization of regret theory, grey system theory and three ways decision, Journal of New Theory, 29, 1-35, 2019. https://doi.org/10.1002/9781119544203.ch1
[21] Svadlenka, L.; Simic, V.; Dobrodolac, M.; Lazarevic, D.; Todorovic, G. (2020). Picture Fuzzy Decision-Making Approach for Sustainable Last-Mile Delivery, IEEE Access, 8, 209393-209414, 2020. https://doi.org/10.1109/ACCESS.2020.3039010
[22] Volvaciovas, R.; Turskis, Z.; Aviza, D.; Mikstiene, R. (2013). Multi-attribute selection of public buildings retrofits strategy, Procedia Engineering, 57, 1236-1241, 2013. https://doi.org/10.1016/j.proeng.2013.04.156
[23] Ulutas, A.; Balo, F.; Sua, L.; Karabasevic, D.; Stanujkic, D.; Popovic, G. (2021). Selection of insulation materials with PSI-CRITIC based CoCoSo method, Revista de la construccion, 20, 382-392, 2021. https://doi.org/10.7764/RDLC.20.2.382
[24] Ulutas, A.; Popovic, G.; Radanov, P.; Stanujkic, D.; Karabasevic, D. (2021) A new hybrid fuzzy PSI-PIPRECIA-CoCoSo MCDM based approach to solving the transportation company selection problem, Technological and Economic Development of Economy, 27(5), 1227-1249, 2021. https://doi.org/10.3846/tede.2021.15058
[25] Wen, Z.; Liao, H.; Ren, R.; Bai, C.; Zavadskas, E.K.; Antucheviciene, J.; Al-Barakati, A. (2019). Cold chain logistics management of medicine with an integrated multicriteria decision-making method, Int. J. Environ. Res. Publ. Health, 16(23), 4843, 2019. https://doi.org/10.3390/ijerph16234843
[26] Wen, Z.; Liao, H.; Zavadskas, E.K.; Al-Barakati, A. (2019). Selection third-party logistics service providers in supply chain finance by a hesitant fuzzy linguistic combined compromise solution method, Economic Research-Ekonomska Istra_zivanja, 32(1), 4033-4058, 2019. https://doi.org/10.1080/1331677X.2019.1678502
[27] Wu, H.; Xu, Z. (2020). Multi-attribute Group Decision Making Method with Unknown Attribute Weights Based on the Q-rung Fuzzy Logic in Decision Support: Methods, Applications and Future Trends, International Journal of Computers Communications and Control, 16(1), 2020. https://doi.org/10.15837/ijccc.2021.3.4214
[28] Yazdani, M.; Zarate, P.; Zavadskas, E. K.; Turskis, Z. (2019). A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems, Management Decision, 57(9), 2501-2519, 2019. https://doi.org/10.1108/MD-05-2017-0458
[29] Yazdani, M.; Wen, Z.; Liao, H.; Banaitis, A.; Turskis, Z. (2019). A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management, Journal of Civil Engineering and Management, 25(8), 858-874, 2019. https://doi.org/10.3846/jcem.2019.11309
[30] Yazdani M.; Chatterjee P.; Pamucar D.; Chakraborty S. (2020). Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities, Expert Systems with Applications, 148, 113208, 2020. https://doi.org/10.1016/j.eswa.2020.113208
[31] Yazdani, M.; Mohammed, A.; Bai, C.; Labib, A. (2021). A novel hesitant-fuzzy-based group decision approach for outsourcing risk, Expert Systems with Applications, 184, 115517, 2021. https://doi.org/10.1016/j.eswa.2021.115517
[32] Yousefi, S.; Valipour, M.; Gul, M. (2021). Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method, Applied Soft Computing, 184, 115517, 2021. https://doi.org/10.1016/j.asoc.2021.107902
[33] Zadeh, L. A. (1965). Fuzzy Sets, Information and Control, 8(3), 338-353, 1965. https://doi.org/10.1016/S0019-9958(65)90241-X
[34] Zavadskas, E. K.; Bausys, R.; Lescauskiene, I.; Omran, J. (2020). M-generalised q-neutrosophic MULTIMOORA for Decision Making, Studies in Informatics and Control, 29(4), 389-398, 2020. https://doi.org/10.24846/v29i4y202001
[35] Zavadskas, E. K.; Turskis Z.; Sliogeriene J.; Vilutien˙e, T. (2021). An integrated assessment of the municipal buildings' use including sustainability criteria, Sustainable Cities and Society, 67, 102708, 2021. https://doi.org/10.1016/j.scs.2021.102708
[36] Zeleny, M. (1973). Compromise programming, Multiple Criteria Decision Making, University of South Carolina Press, pp. 262-301, 1973.
[37] Zhang, Z.; Liao, H.; Al-Barakati, A.; Zavadskas, E. K.; Antuchevicien˙e, J. (2020). Supplier selection for housing development by an integrated method with interval rough boundaries, International Journal of Strategic Property Management, 24(4), 269-284, 2020. https://doi.org/10.3846/ijspm.2020.12434
[38] Zhao, H.; Zhang, R.; Zhang, A.; Zhu, X. (2021). Multi-attribute Group Decision Making Method with Unknown Attribute Weights Based on the Q-rung Orthopair Uncertain Linguistic Power Muirhead Mean Operators, International Journal of Computers Communications and Control, 16(3), 2021. https://doi.org/10.15837/ijccc.2021.3.4214
[39] Zolfani, S. H.; Chatterjee, P.; Yazdani, M. (2019). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model, In: International Scientific Conference "Contemporary Issues in Business, Management and Economics Engineering' 2019", pp. 797-804, 2019.
[2] Bausys R.; Lescauskiene I.; Semenas R. (2021). Participant trustworthiness analysis in the gamebased urban planning processes by PROMETHEE-mGqNN approach, Journal of civil engineering and management, 27(6), 427-440, 2021. https://doi.org/10.3846/jcem.2021.15263
[3] Ecer, F.; Pamucar, D.; Hashemkhani Zolfani, S.; Keshavarz Eshkalag, M. (2019). Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool, Journal of Cleaner Production, 241, 118324, 2019. https://doi.org/10.1016/j.jclepro.2019.118324
[4] Ecer, F.; Pamucar, D. (2020). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo'B) multi-criteria model, Journal of Cleaner Production, 266, 121981, 2020. https://doi.org/10.1016/j.jclepro.2020.121981
[5] Hafezalkotob, A.; Hafezalkotob, A.; Liao, H.; Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: theory, developments, applications, and challenges, Information Fusion, 51, 145-177, 2019. https://doi.org/10.1016/j.inffus.2018.12.002
[6] Ijadi Maghsoodi, A.; Soudian, S.; MartAnez, L.; Herrera-Viedma, E.; Zavadskas, E. K. (2020). A phase change material selection using the interval-valued target-based BWMCoCoMULTIMOORA approach: A case-study on interior building applications, Applied Soft Computing, 95, 106508, 2020. https://doi.org/10.1016/j.asoc.2020.106508
[7] Kieu, P.T.; Nguyen, V.T.; Nguyen, V.T.; Ho, T.P. (2021) A Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm in Distribution Center Location Selection: A Case Study in Agricultural Supply Chain, Axioms, 10, 53, 2021. https://doi.org/10.3390/axioms10020053
[8] Liao, H.; Qin, R.; Wu, D.; Yazdani, M.; Zavadskas, E.K. (2020). Pythagorean fuzzy combined compromise solution method integrating the cumulative prospect theory and combined weights for cold chain logistics distribution center selection, International Journal of Intelligent Systems, 35, 2009-2031, 2020. https://doi.org/10.1002/int.22281
[9] Luo, Y.; Zhang, X.; Qin, Y.; Yang, Z.; Liang, Y. (2021). Tourism Attraction Selection with Sentiment Analysis of Online Reviews Based on Probabilistic Linguistic Term Sets and the IDOCRIWCOCOSO Model, International Journal of Fuzzy Systems, 23, 295-308, 2021. https://doi.org/10.1007/s40815-020-00969-9
[10] Majidi, A.; Mirzapour Al-e-Hashem, S.M.J.; Hashemkhani Zolfani, S.(2021) Sustainability Ranking of the Iranian Major Ports by Using MCDM Methods, Mathematics, 9, 2451, 2021. https://doi.org/10.3390/math9192451
[11] Mi X.; Liao H. (2020). Renewable energy investments by a combined compromise solution method with stochastic information, Journal of Cleaner Production, 276, 123351, 2020. https://doi.org/10.1016/j.jclepro.2020.123351
[12] Pamucar D.; Deveci M.; Gokasar I.; Isik M.; Zivovic M. (2021). Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model, Journal of Cleaner Production, 323, 129096, 2021. https://doi.org/10.1016/j.jclepro.2021.129096
[13] Peng, X.; Huang, H. (2020). Fuzzy decision making method based on CoCoSo with critic for financial risk evaluation, Technological and Economic Development of Economy, 26(4), 695-724, 2020. https://doi.org/10.3846/tede.2020.11920
[14] Peng, X.; Zhang, X.; Luo, Z. (2020). Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation, Artificial Intelligence Review, 53, 3813- 3847, 2020. https://doi.org/10.1007/s10462-019-09780-x
[15] Peng, X.; Li, W. (2021). Spherical fuzzy decision making method based on combined compromise solution for IIoT industry evaluation, Artificial Intelligence Review. https://doi.org/10.1007/s10462-021-10055-7
[16] Peng, X.; Garg, H. (2021). Intuitionistic fuzzy soft decision making method based on Co- CoSo and CRITIC for CCN cache placement strategy selection, Artificial Intelligence Review, https://doi.org/10.1007/s10462-021-09995-x
[17] Rani, P.; Mishra, A.R. (2020). Novel single-valued neutrosophic combined compromise solution approach for sustainable waste electrical and electronics equipment recycling partner selection, IEEE Trans. Eng. Manag., 1-15, 2020. https://doi.org/10.1109/TEM.2020.3033121
[18] Semenas, R.; Bausys, R.; Zavadskas, E. K. (2021). A Novel Environment Exploration Strategy by m-generalised q-neutrosophic WASPAS, Studies in Informatics and Control, 30(3), 19-28, 2021. https://doi.org/10.24846/v30i3y202102
[19] Smarandache, F. A. (1999). Unifying Field in Logics. Neutrosophy: Neutrosophic Probability, Set and Logic, Book Chapter, American Research Press: Rehoboth, DE, USA, 1999.
[20] Smarandache, F. (2019). Neutrosophic set is a generalization of intuitionistic fuzzy set, inconsistent intuitionistic fuzzy set, pythagorean fuzzy set, q-rung orthopair fuzzy set, spherical fuzzy set and n-hyperbolic fuzzy set while neutrosophication is a generalization of regret theory, grey system theory and three ways decision, Journal of New Theory, 29, 1-35, 2019. https://doi.org/10.1002/9781119544203.ch1
[21] Svadlenka, L.; Simic, V.; Dobrodolac, M.; Lazarevic, D.; Todorovic, G. (2020). Picture Fuzzy Decision-Making Approach for Sustainable Last-Mile Delivery, IEEE Access, 8, 209393-209414, 2020. https://doi.org/10.1109/ACCESS.2020.3039010
[22] Volvaciovas, R.; Turskis, Z.; Aviza, D.; Mikstiene, R. (2013). Multi-attribute selection of public buildings retrofits strategy, Procedia Engineering, 57, 1236-1241, 2013. https://doi.org/10.1016/j.proeng.2013.04.156
[23] Ulutas, A.; Balo, F.; Sua, L.; Karabasevic, D.; Stanujkic, D.; Popovic, G. (2021). Selection of insulation materials with PSI-CRITIC based CoCoSo method, Revista de la construccion, 20, 382-392, 2021. https://doi.org/10.7764/RDLC.20.2.382
[24] Ulutas, A.; Popovic, G.; Radanov, P.; Stanujkic, D.; Karabasevic, D. (2021) A new hybrid fuzzy PSI-PIPRECIA-CoCoSo MCDM based approach to solving the transportation company selection problem, Technological and Economic Development of Economy, 27(5), 1227-1249, 2021. https://doi.org/10.3846/tede.2021.15058
[25] Wen, Z.; Liao, H.; Ren, R.; Bai, C.; Zavadskas, E.K.; Antucheviciene, J.; Al-Barakati, A. (2019). Cold chain logistics management of medicine with an integrated multicriteria decision-making method, Int. J. Environ. Res. Publ. Health, 16(23), 4843, 2019. https://doi.org/10.3390/ijerph16234843
[26] Wen, Z.; Liao, H.; Zavadskas, E.K.; Al-Barakati, A. (2019). Selection third-party logistics service providers in supply chain finance by a hesitant fuzzy linguistic combined compromise solution method, Economic Research-Ekonomska Istra_zivanja, 32(1), 4033-4058, 2019. https://doi.org/10.1080/1331677X.2019.1678502
[27] Wu, H.; Xu, Z. (2020). Multi-attribute Group Decision Making Method with Unknown Attribute Weights Based on the Q-rung Fuzzy Logic in Decision Support: Methods, Applications and Future Trends, International Journal of Computers Communications and Control, 16(1), 2020. https://doi.org/10.15837/ijccc.2021.3.4214
[28] Yazdani, M.; Zarate, P.; Zavadskas, E. K.; Turskis, Z. (2019). A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems, Management Decision, 57(9), 2501-2519, 2019. https://doi.org/10.1108/MD-05-2017-0458
[29] Yazdani, M.; Wen, Z.; Liao, H.; Banaitis, A.; Turskis, Z. (2019). A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management, Journal of Civil Engineering and Management, 25(8), 858-874, 2019. https://doi.org/10.3846/jcem.2019.11309
[30] Yazdani M.; Chatterjee P.; Pamucar D.; Chakraborty S. (2020). Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities, Expert Systems with Applications, 148, 113208, 2020. https://doi.org/10.1016/j.eswa.2020.113208
[31] Yazdani, M.; Mohammed, A.; Bai, C.; Labib, A. (2021). A novel hesitant-fuzzy-based group decision approach for outsourcing risk, Expert Systems with Applications, 184, 115517, 2021. https://doi.org/10.1016/j.eswa.2021.115517
[32] Yousefi, S.; Valipour, M.; Gul, M. (2021). Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method, Applied Soft Computing, 184, 115517, 2021. https://doi.org/10.1016/j.asoc.2021.107902
[33] Zadeh, L. A. (1965). Fuzzy Sets, Information and Control, 8(3), 338-353, 1965. https://doi.org/10.1016/S0019-9958(65)90241-X
[34] Zavadskas, E. K.; Bausys, R.; Lescauskiene, I.; Omran, J. (2020). M-generalised q-neutrosophic MULTIMOORA for Decision Making, Studies in Informatics and Control, 29(4), 389-398, 2020. https://doi.org/10.24846/v29i4y202001
[35] Zavadskas, E. K.; Turskis Z.; Sliogeriene J.; Vilutien˙e, T. (2021). An integrated assessment of the municipal buildings' use including sustainability criteria, Sustainable Cities and Society, 67, 102708, 2021. https://doi.org/10.1016/j.scs.2021.102708
[36] Zeleny, M. (1973). Compromise programming, Multiple Criteria Decision Making, University of South Carolina Press, pp. 262-301, 1973.
[37] Zhang, Z.; Liao, H.; Al-Barakati, A.; Zavadskas, E. K.; Antuchevicien˙e, J. (2020). Supplier selection for housing development by an integrated method with interval rough boundaries, International Journal of Strategic Property Management, 24(4), 269-284, 2020. https://doi.org/10.3846/ijspm.2020.12434
[38] Zhao, H.; Zhang, R.; Zhang, A.; Zhu, X. (2021). Multi-attribute Group Decision Making Method with Unknown Attribute Weights Based on the Q-rung Orthopair Uncertain Linguistic Power Muirhead Mean Operators, International Journal of Computers Communications and Control, 16(3), 2021. https://doi.org/10.15837/ijccc.2021.3.4214
[39] Zolfani, S. H.; Chatterjee, P.; Yazdani, M. (2019). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model, In: International Scientific Conference "Contemporary Issues in Business, Management and Economics Engineering' 2019", pp. 797-804, 2019.
Additional Files
Published
2022-01-09
Issue
Section
Articles
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.
