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Kullanım alanları

HF-ELECTRE-I

HF-ELECTRE I - Kararsız Bulanık ELECTRE I (Chen-Xu-Xia 2015)

Kararsız Bulanık Elemanlar için uyum/uyumsuzluk dışlama sıralaması; skor fonksiyonu ve sapma derecesine dayalı HF uyum ve uyumsuzluk indeksleri; seçim için güvenilirlik matrisi.

Formül adımları

Analiz motorunun yöntem bildirimindeki (manifest F.steps) adımlar; raporlardaki formüllerle aynı kaynaktır.

  1. Collect HFE evaluations h_ij from a group of DMs. Specify criterion importance weights w_k and the four relative weights for strong/weak concordance and discordance sets.

    H=[hij]m×n;w=(w1,...,wn)TwithΣwk=1;ω=(ωC,ωC′,ωD,ωD′)Tforconcordance/discordancesetweights
    LaTeX H = [h_ij]_{m×n}; w = (w_1,...,w_n)^T with Σw_k=1; ω = (ω_C, ω'_C, ω_D, ω'_D)^T for concordance/discordance set weights
  2. Score = mean membership value; deviation = standard deviation of membership values. If two HFEs have different lengths, extend the shorter by repeating its minimum value (pessimistic rule).

    s(hij)=(1/|hij|)·Σγ∈hijγ;σ(hij)=sqrt((1/|hij|)·Σγ∈hij(γ−s(hij))²)
    LaTeX s(h_ij) = (1/|h_ij|)·Σ_{γ∈h_ij} γ; σ(h_ij) = sqrt((1/|h_ij|)·Σ_{γ∈h_ij}(γ − s(h_ij))²)
  3. For each ordered pair (i,j) with i≠j: J^c_ij contains criteria where A_i outperforms A_j with higher consistency (lower deviation); J'^c_ij contains criteria where A_i scores at least as well but with lower or equal consistency.

    Jicj=k|s(hik)≥s(hjk)ANDσ(hik)<σ(hjk)(Eq.4.19);Ji′cj=k|s(hik)≥s(hjk)ANDσ(hik)≥σ(hjk)(Eq.4.20)
    LaTeX J^c_ij = {k | s(h_ik) ≥ s(h_jk) AND σ(h_ik) < σ(h_jk)} (Eq.4.19); J'^c_ij = {k | s(h_ik) ≥ s(h_jk) AND σ(h_ik) ≥ σ(h_jk)} (Eq.4.20)
  4. J^d_ij collects criteria where A_i is inferior to A_j with lower consistency (more discordant); J'^d_ij collects criteria where A_i is inferior but has higher consistency (weak discordance).

    Jidj=k|s(hik)<s(hjk)ANDσ(hik)≥σ(hjk)(Eq.4.21);Ji′dj=k|s(hik)<s(hjk)ANDσ(hik)<σ(hjk)(Eq.4.22)
    LaTeX J^d_ij = {k | s(h_ik) < s(h_jk) AND σ(h_ik) ≥ σ(h_jk)} (Eq.4.21); J'^d_ij = {k | s(h_ik) < s(h_jk) AND σ(h_ik) < σ(h_jk)} (Eq.4.22)
  5. The concordance index c_ij ∈ [0,1] measures how much A_i outranks A_j. Weighted sum of criteria in the concordance sets divided by total weights. c_ii is undefined (diagonal excluded).

    cij=(ωC·Σk∈Jicjwk+ωC′·Σk∈Ji′cjwk)/Σk=1nwk;C=[cij]n×n(Eqs.4.23−4.24)
    LaTeX c_ij = (ω_C·Σ_{k∈J^c_ij} w_k + ω'_C·Σ_{k∈J'^c_ij} w_k) / Σ_{k=1}^{n} w_k; C = [c_ij]_{n×n} (Eqs.4.23-4.24)
  6. d_ij measures worst-case weighted distance on discordant criteria relative to maximum distance across all criteria. Distance d(·,·) is the HFS distance measure (Def.2.2 in book).

    dij=maxωD·d(wkhik,wkhjk):k∈Jidj,ωD′·d(wkhik,wkhjk):k∈Ji′dj/maxk=1..nd(wkhik,wkhjk);D=[dij]n×n(Eqs.4.25−4.26)
    LaTeX d_ij = max{ω_D·d(w_k h_ik, w_k h_jk): k∈J^d_ij, ω'_D·d(w_k h_ik, w_k h_jk): k∈J'^d_ij} / max_{k=1..n} d(w_k h_ik, w_k h_jk); D = [d_ij]_{n×n} (Eqs.4.25-4.26)
  7. Threshold c̄ is the average concordance index over all ordered pairs. f_ij=1 indicates A_i concordance-dominates A_j.

    c̄=Σi=1,j≠incij/(n(n−1));fij=1ifcij≥c̄else0;F=[fij](Eqs.4.27−4.29)
    LaTeX c̄ = Σ_{i=1,j≠i}^{n} c_ij / (n(n−1)); f_ij = 1 if c_ij ≥ c̄ else 0; F = [f_ij] (Eqs.4.27-4.29)
  8. Threshold d̄ is the average discordance index. q_ij=1 indicates A_i is NOT strongly discordant relative to A_j (i.e., discordance is within acceptable range).

    d̄=Σi=1,j≠indij/(n(n−1));qij=1ifdij≤d̄else0;Q=[qij](Eqs.4.30−4.32)
    LaTeX d̄ = Σ_{i=1,j≠i}^{n} d_ij / (n(n−1)); q_ij = 1 if d_ij ≤ d̄ else 0; Q = [q_ij] (Eqs.4.30-4.32)
  9. p_ij=1 iff A_i concordance-dominates A_j AND is not excessively discordant w.r.t. A_j. Interpretation: p_ij=1 → A_i preferred to A_j; p_ij=p_ji=1 → indifferent; p_ij=p_ji=0 → incomparable.

    P=F⊗Q;pij=fij·qij(Eqs.4.33−4.34)
    LaTeX P = F ⊗ Q; p_ij = f_ij · q_ij (Eqs.4.33-4.34)
  10. Identify the kernel (undominated set) from the aggregation dominance graph. Alternatives in the kernel are the recommended choices.

    DrawdirectedgraphfromP:edgeAi→Ajiffpij=1.Kernel=setofalternativesnotdominatedbyanyotherselectedalternative.
    LaTeX Draw directed graph from P: edge A_i→A_j iff p_ij=1. Kernel = set of alternatives not dominated by any other selected alternative.

Yöntem ayrıntıları kaynak kütüphanedeki özgün (İngilizce) metindir.

Sezgi

Sonucu okuma: HF-ELECTRE-I ranks alternatives based on performance scores. Higher score = better rank.