Catatan bukti metode

Deterministic Scenario Analysis

Deterministic Scenario Analysis (DSA) is a structured planning method in which analysts construct a finite set of internally consistent future scenarios, each defined by fixed, precisely specified parameter values rather than probability distributions. By running a model or calculation under each scenario's fixed inputs, decision-makers can map how outcomes diverge across plausible futures and stress-test strategies without requiring full probabilistic characterization of uncertainty.

Sources recorded, not reviewed

Catatan sumber

Kutipan disalin apa adanya dari catatan sumber metode. Tidak ada verifikasi tingkat klaim yang disimpulkan darinya.

Deterministic Scenario Analysis — Fixed-parameter scenario exploration for planning and decision support

Catatan metode taksonomi · process-pipeline / simulation

Kahn, H., Wiener, A. J. (1967). The Year 2000: A Framework for Speculation on the Next Thirty-Three Years. Macmillan, New York. · ISBN 9780025604407
Schoemaker, P. J. H. (1993). Multiple scenario development: Its conceptual and behavioral foundation. Strategic Management Journal, 14(3), 193–213. · DOI 10.1002/smj.4250140304

Buka metode lengkap

Klaim yang dikurasi

Klaim tersimpan dalam buku besar bukti, masing-masing dengan penilaiannya sendiri.

Belum ada klaim yang dikurasi

Tampilan ini tidak menciptakan penilaian klaim ketika buku besar tidak memilikinya.

Metode terkait

Dihasilkan dari grafik metode dan ditampilkan sebagai relasi yang disarankan mesin — tidak ada klaim bukti yang disimpulkan.

Taxonomic bucketDeterministic Sensitivity Analysismachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.See alsoSENSITIVITY-ANALYSISmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Scenario Analysismachine-suggested · Relational suggestion, not evidence.Same method familySystem Dynamicsmachine-suggested · Relational suggestion, not evidence.