Terdapat banyak metode yang dapat diterapkan dalam menyelesaikan masalah pembuatan keputusan. Metode yang dapat diterapkan dalam SPK adalah:
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– Additive Ratio Assessment (ARAS)
– Aggregated Indices Randomization Method (AIRM)
– Analytic Network Process (ANP)
– Analytical Hierarchy Process (AHP)
– Balance Beam Process (BBP)
– Best worst method (BWM)
– Brown–Gibson Model (BGM)
– Characteristic Objects METhod (COMET)
– Choosing By Advantages (CBA)
– Combinative Distance Based Assessment) CODAS
– Combined Compromise Solution (COCOSO)
– Complex Proportional Assessment (COPRAS)
– Composite Performance Index (CPI)
– Conjoint Value Hierarchy (CVA)
– Data Envelopment Analysis (DEA)
– Decision Expert (DEX)
– Decision Making Trial And Evaluation Laboratory (DEMATEL)
– Disaggregation Aggregation Approaches (DAA)
– Distance from Average Solution (EDAS)
– Distance To The Ideal Alternative (DIA)
– Dominance Based Rough Set Approach (DRSA)
– Elimination And Choice Translating Reality (ELECTRE)
– ENTROPY
– Evaluation Based On Distance From Average Solution (EDAS)
– Evidence Reasoning Approach (ER)
– Full Consistency Method (FUCOM)
– Goal Programming (GP)
– Grey Absolute Decision Analysis (GADA)
– Grey Relational Analysis (GRA)
– Hierarchical Integration Of Values And Evaluations Under Social Constraints (HIVES)
– Inner Product Of Vectors (IPV)
– MARCOS
– Markovian Multi Criteria Decision Making (MMCDM)
– Measuring Attractiveness By A Categorical Based Evaluation Technique (MACBETH)
– Metode Perbandingan Eksponensial (MPE)
– Multi Attribute Global Inference of Quality (MAGIQ)
– Multi Attribute Utility Theory (MAUT)
– Multi Attribute Value Theory (MAVT)
– Multi Attributive Border Approximation Area Comparison (MABAC)
– Multi Attributive Ideal Real Comparative Analysis (MAIRCA)
– Multi Criteria Decision Making (MCDM)
– Multi Factor Evaluation Process (MFEP)
– Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA)
– New Approach To Appraisal (NATA)
– Nonstructural Fuzzy Decision Support System (NSFDSS)
– Ordinal Priority Approach (OPA)
– Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA)
– Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE)
– Preference Selection Index (PSI)
– Profile Matching (PM)
– Rank Order Centroid (ROC)
– Rough Set Approach (RSA )
– Simple Additive Weighting (SAW)
– Simple Multi Attribute Rating Technique (SMART)
– Simple Weighted Sum Product (WISP)
– Stepwise Weight Assessment Ratio Analysis (SWARA)
– Stochastic Multicriteria Acceptability Analysis (SMAA)
– Stratified Multi Criteria Decision Making (SMCDM)
– Superiority And Inferiority Ranking Method (SIR M)
– System Redesigning to Creating Shared Value (SYRCS)
– TAGUCHI
– Technique For The Order Of Prioritisation By Similarity To Ideal Solution (TOPSIS)
– Utilities Additives Method (UAM)
– Utilities Theory Additives (UTA)
– Value Analysis (VA)
– Value Engineering (VE)
– Visekriterijumsko Kompromisno Rangiranje (VIKOR)
– Weighted Aggregated Sum Product Assessment (WASPAS)
– Weighted Product Model (WPM)
– Weighted Product(WP)
– Weighted Sum (WS)
– Weighted Sum Model (WSM)
Menerapkan Teknik Pohon Keputusan (Decision Tree)
Sistem pendukung keputusan juga dapat menerapkan metode yang tergolong dalam teknik pohon keputusan atau decision tree. Metode yang dapat digunakan adalah sebagai berikut:
– Iterative Dichotomizer Three (ID3)
– C4.5
– Classification And Regression Tree (CART)
– Chi Squared Automatic Interaction Detection Analysis (CHAID)
– Quick, Unbiased, Efficient, Statistical Tree (QUEST)
– CAL5
– FACT
– LMDT
– PUBLIC
– Multivariate Adaptive Regression Spline (MARS)
– dan lain-lain.
Menerapkan Teknik Tabel Keputusan (Decision Table)
Metode ini menggunakan tabel yang berisi syarat atau keadaan untuk mengambil keputusan.
Menerapkan Teknik Logika Predikat (Predicate Logic)
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Menerapkan Teknik Logika Samar (Fuzzy Logic) dan Teori Kabur (Fuzzy Theory)
Sistem pendukung keputusan juga dapat menerapkan metode yang tergolong dalam teknik logika samar atau logika kabur atau fuzzy logic. Metode yang dapat digunakan adalah sebagai berikut:
- Fuzzy Logic
- Fuzzy Mamdani
- Fuzzy Sugeno
- Fuzzy Tahani
- Fuzzy Tsukamoto
- Fuzzy Umano
Logika samar sering diterapkan bersama metode lain untuk mendapatkan akurasi yang lebih tinggi. Contohnya adalah sebagai berikut:
- Fuzzy AHP
- Fuzzy MADM
- Fuzzy SAW
Menerapkan Teknik PERT / CPM
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Menerapkan Teknik Multi Criteria Decision Analysis (MCDA)
Sistem pendukung keputusan juga dapat menerapkan metode yang tergolong dalam teknik analisis keputusan yang melibatkan banyak kriteria atau sering disebut multi criteria decision analysis (MCDA). Metode yang dapat digunakan adalah sebagai berikut:
- Aggregated Indices Randomization Method (AIRM)
- Data Envelopment Analysis (DEA)
- Dominance Based Rough Set Approach (DRSA)
- Elimination And Choice Translating Reality (ELECTRE)
- Evidence Reasoning Approach (ER)
- Grey Relational Analysis (GRA)
- Inner Product Of Vectors (IPV)
- Measuring Attractiveness By A Categorical Based Evaluation Technique (MACBETH)
- Multi Attribute Global Inference of Quality (MAGIQ)
- Multi Attribute Utility Theory (MAUT)
- Multi Attribute Value Theory (MAVT)
- Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA)
- Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE)
- Superiority And Inferiority Ranking Method (SIR)
- Technique For The Order Of Prioritisation By Similarity To Ideal Solution (TOPSIS)
- Weighted Product Model (WPM)
- Weighted Sum Model (WSM)
Menerapkan Teknik Gantt Chart
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Menerapkan Teknik Milestode Chart
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Menerapkan Teknik Evaluasi dan Reviu Grafis
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Menerapkan Teknik Petri Net
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Menerapkan Teknik Rantai Markov
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Menerapkan Teknik Penalaran Berdasarkan Kasus
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Menerapkan Teknik Pemrograman Linear
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Menerapkan Teknik Simulasi
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Menerapkan Teknik Analisis Data Besar
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Menerapkan Teknik Regresi
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Menerapkan Teknik Data Warehousing
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Menerapkan Teknik Data Mining
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