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चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

मल्टीमोओरा (MULTIMOORA) का संभाव्य भाषिक विस्तार×चरण-वार भार मूल्यांकन अनुपात विश्लेषण×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष20182010
प्रवर्तकWu, X. Liao, H. Xu, Z. S. Hafezalkotob, A. Herrera, F.Keršulienė, V., Zavadskas, E. K., Turskis, Z.
प्रकारProbabilistic Linguistic multi-objective ranking — PLTS: {L_k|p_k} with expectation function + Borda aggregationSequential step-ratio subjective weighting
मौलिक स्रोतWu, X., Liao, H., Xu, Z. S., Hafezalkotob, A., Herrera, F. (2018). Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Transactions on Fuzzy Systems DOI ↗Keršulienė, V., Zavadskas, E. K., Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management DOI ↗
उपनाम
संबंधित88
सारांशPL-MULTIMOORA (Probabilistic Linguistic extension of MULTIMOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Wu, X. Liao, H. Xu, Z. S. Hafezalkotob, A. Herrera, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.SWARA (Step-Wise Weight Assessment Ratio Analysis) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Keršulienė, V., Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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