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| MPF-TOPSIS-LING× | CIMAS× | |
|---|---|---|
| Oblast | Donošenje odluka | Donošenje odluka |
| Porodica | MCDM | MCDM |
| Godina nastanka≠ | 2019 | 2025 |
| Tvorac≠ | Adeel, A., Akram, M., Koam, A. N. A. | Bošković, S., Jovčić, S., Simić, V., Švadlenka, L., Dobrodolac, M., Bacanin, N. |
| Tip≠ | Distance-based group-decision MCDM under m-polar fuzzy linguistic information — aggregated m-PF linguistic decision matrix d'^i_jk = (1/r) Σ_l d^l,i_jk, weighted matrix e^i_jk = w'_k d^i_jk, m-PF linguistic Euclidean distances (Eqs. 3–4) to mPIS / mNIS (Eqs. 1–2), closeness coefficient E'_j (Eq. 5) descending ranking | Impact-based weighted scoring (criterion-level deviation analysis) |
| Temeljni izvor≠ | Adeel, A., Akram, M., Koam, A. N. A. (2019). Group Decision-Making Based on m-Polar Fuzzy Linguistic TOPSIS Method. Symmetry (MDPI) DOI ↗ | Bošković, S., Jovčić, S., Simić, V., Švadlenka, L., Dobrodolac, M., Bacanin, N. (2025). A New Criteria Importance Assessment (CIMAS) Method in Multi-Criteria Group Decision-Making: Criteria Evaluation for Supplier Selection. FACTA UNIVERSITATIS — Series: Mechanical Engineering DOI ↗ |
| Drugi nazivi | — | — |
| Srodne | 8 | 8 |
| Sažetak≠ | MPF-TOPSIS-LING (m-Polar Fuzzy Linguistic TOPSIS for MCGDM (Adeel, Akram & Koam 2019, Symmetry 11(6):735) — multi-criteria group decision-making via m-polar fuzzy linguistic variables (mFLV), expert-aggregated m-PF linguistic decision matrix, aggregated linguistic-term-set weights, m-PF linguistic positive/negative ideal solutions (mPIS / mNIS), m-PF linguistic Euclidean distances, relative closeness coefficient E'_j descending ranking) is a ranking multi-criteria decision-making (MCDM) method introduced by Adeel, A., Akram, M., Koam, A. N. A. in 2019. It turns a decision matrix of alternative | CIMAS (Criterion Impact MeAsurement System) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Bošković, S., Jovčić, S., Simić, V., Švadlenka, L., Dobrodolac, M., Bacanin, N. in 2025. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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