Methods · Ranking
ELECTRE II (ELimination Et Choix Traduisant la REalité II)
ELECTRE II does not settle for ELECTRE I's core-set output. It runs the same outranking logic in two directions at once, from the best alternative downward and from the worst upward, and places every alternative in a full order. Where the two directions disagree, it prefers to say "incomparable" rather than force a verdict.
Base method's data type: Classical
What Is the Method?
When you already hold a decision table, ELECTRE II does not sort alternatives into a core set the way ELECTRE I does. It is instead a ranking method that places every alternative in a single order. Its output is not a numerical score but a position: which alternative comes before which, which are tied, and which cannot be compared on any grounds.
Roy and Bertier proposed it in 1973 as a direct successor to ELECTRE I; its first application was a media-planning problem. It is one of the early members of the ELECTRE family and of the broader outranking tradition, and it is preferred for complex decisions with many stakeholders. It does not produce weights; weights are supplied from outside.
The Philosophy Behind It
ELECTRE II inherits ELECTRE I's question of which alternative is not clearly beaten by any other. Establishing that one alternative outranks another still requires two conditions together: agreement across a sufficiently large share of the criteria, and no criterion where the disagreement (discordance, or veto) is severe. This is the non-compensatory logic inherited from ELECTRE I, in which a serious weakness on a single criterion can never be offset by strength elsewhere.
ELECTRE II's own philosophical contribution, however, lies in how it turns this logic into an order. The method does not make a single pass. It builds the same outranking relation twice, once with a "strict" concordance threshold and once with a "loose" one, giving a certain and a possible outranking relation. It then derives the order from two separate directions: once descending from the strongest alternative, once ascending from the weakest.
A firm preference or a tie is accepted only where the two directions reach the same conclusion. Where they disagree, the method does not hide it, but declares the pair "incomparable". This philosophical consequence makes ELECTRE II a kind of cross-validated ranking method. It aims to produce a full order, yet without blunting that aim it states openly where the data genuinely cannot discriminate.
How It Works
The method proceeds through seven steps.
First, direction-sensitive concordance and discordance. For every pair of alternatives, the criteria on which one alternative is at least as good as the other are identified. Criterion direction matters here: on a "lower is better" criterion, the smaller value is superior. The weights of these criteria are summed to build a concordance value. Optionally, the ratio of the worst difference to the largest difference in the dataset gives a discordance value. ELECTRE II departs here from ELECTRE III and IV: it does not use graded preference and indifference thresholds (pseudo-criteria); the comparison is sharp.
Second, certain and possible relations. Two different concordance thresholds are set: a stricter one (s1) establishes a "certain outranking" relation, a looser one (s2) a "possible outranking" relation. An optional discordance ceiling can veto either relation: a sufficiently large disagreement on a single criterion invalidates the relation regardless of how high the concordance is.
Third, two graphs. A "strong" outranking graph is built from the certain relation, and a "weak" one from the possible relation.
Fourth, the descending order. Alternatives that mutually outrank one another in the strong graph (cycles) are grouped into a single class; the remaining classes are arranged from strongest to weakest. Alternatives within a class are further separated using the weak relation where needed.
Fifth, the ascending order. The same procedure is repeated symmetrically, this time building an order upward from the weakest alternative.
Sixth, the intersection of the two orders. The descending and ascending orders are compared. Where both agree, a firm preference or a tie is accepted; where they disagree, the pair is treated as incomparable.
Seventh, the result. The method returns the partial or full order built from these comparisons; it does not invent a single numerical score.
The formulas behind each step, the intermediate tables and the citation formats are given on the DecisionMind method page; this card carries no formulas.
How to Read the Output
ELECTRE II's output is a position, not a score. You can say "A2 comes before A3", but not "A2 is such-and-such per cent better than A3"; a figure of that kind is not something the method produces. Three types of relation can arise: a firm preference (one alternative clearly ahead of another), a tie (two alternatives in the same rank), and incomparability (the case where the two directions disagree and the dataset cannot separate the two). Incomparability is not an error; it is part of the method's honesty mechanism. Changing the thresholds may or may not turn it into a firm preference.
Thus instead of writing:
"ELECTRE II placed A2 first, with the rest firmly second and third"
the report should read:
"With the chosen thresholds, A2 comes out ahead in both the descending and ascending rankings; the order between A3 and A1 is clear at these thresholds, but might become incomparable with a different pair of thresholds"
Data Type and Inputs
ELECTRE II works with crisp data: one number per cell. You need alternatives in rows, criteria in columns, direction information for every criterion, weights summing to 1, and two concordance thresholds (s1 > s2). An optional discordance (veto) ceiling can also be set.
It does not produce weights, it asks for them; they can be drawn from sources such as AHP, BWM, Entropy or CRITIC. DecisionMind holds five ELECTRE II family members alongside the base method (including fuzzy, intuitionistic fuzzy, multi-polar fuzzy and Pythagorean fuzzy extensions). It works with two to thirty alternatives, and is most comfortable with three to fifteen; it accepts two or more criteria, and three to twelve criteria are recommended.
When to Use It, When Not To
ELECTRE II is a sound choice if you want a very poor performance on one criterion never to be offset by good performance on the others. It also serves when you need a full order rather than the core set that ELECTRE I produces. Its typical territory is complex decisions in which the interests of multiple stakeholders conflict.
There are situations in which it should not be used. If graded preference and indifference thresholds are needed, the pseudo-criterion logic that treats small differences as "unimportant", ELECTRE II's sharp comparison falls short. If a weakness on one criterion may reasonably be offset by other criteria, a simpler ranking method is enough. If a firm decision is required for every pair, that is, an incomparable outcome cannot be accepted, a method that always yields a full order is more suitable.
A full order plus veto logic (non-compensatory) is wanted → ELECTRE II
Not an order but a "set of front-runners" is enough → ELECTRE I
Graded preference/indifference thresholds (pseudo-criteria) are needed → ELECTRE III, ELECTRE IV
A weakness on one criterion may be closed by another → TOPSIS, SAW
A firm decision is required for every pair, an incomparable outcome is not wanted → PROMETHEE II
Strengths
ELECTRE II's most distinct strength is that it keeps ELECTRE I's veto-like, non-compensatory logic while producing a usable full order instead of a core set. Second, it builds the order not in a single pass but from two independent directions (descending and ascending), and reaches a firm decision only where the two agree; this cross-validation is regarded as one of the most honest mechanisms in the outranking family (Govindan and Jepsen, 2016). Third, it does not conceal an incomparable outcome: where the data genuinely cannot separate two alternatives, it says so openly rather than hiding this behind an invented rank number. Fourth, as one of the early, foundational members of the ELECTRE family, it laid the groundwork for later members such as ELECTRE III and IV, whose threshold structure is more flexible (Roy, 1991).
Weaknesses
Its limitations stem from the same structure. First, the choice of the two concordance thresholds (s1, s2) and of any discordance ceiling determines the result directly. Accepting these thresholds as "standard" values without regard to the data is a common risk and can change the result substantially. Second, unlike ELECTRE III/IV, it does not use graded pseudo-criterion thresholds. As a result, even differences as small as measurement noise, close to the threshold boundary, can be sharply split into "concordant/discordant".
Third, although the incomparable outcome is honest, it does not give a directly applicable order for some pairs; in practice this may require a second decision mechanism. Fourth, the ELECTRE family in general is criticised for the subjectivity of parameter selection and for difficulty scaling to large numbers of alternatives (Govindan and Jepsen, 2016).
Common Mistakes
The most common mistake is setting the two concordance thresholds (s1 and s2) equal to or very close to each other. This makes the distinction between "certain" and "possible" outranking meaningless and disables the method's dual-direction check. A second mistake is either never using the discordance (veto) ceiling, or setting it very strictly without regard to the data, and then being surprised that "the method could not separate any alternative". If the ceiling is too strict, no pair can enter an outranking relation and all alternatives end up in a single class.
A third mistake is confusing an incomparable outcome with a tie (indifference); the two carry different information. A fourth is treating only the descending order as final without intersecting it with the ascending order. A fifth is assuming that graded preference thresholds, as used in ELECTRE III/IV, also apply here; ELECTRE II's comparison is sharp.
The governing principle is this:
The order ELECTRE II produces is a consequence of the two chosen concordance thresholds and, where used, the discordance ceiling; the more sensitive the order is to these parameters, the more the decision should be reported as open to challenge.
Cases
Each case opens with a decision table, describes in words what the method does to it, and shows how to read the result. The first case is drawn from DecisionMind's own validation record and is illustrative; the remaining cases are illustrative constructions.
1. Business: Full ranking of three logistics suppliers (illustrative example)
A manufacturing firm's procurement unit will produce a full ranking of three logistics suppliers. It is not only "which one stands out" that matters, but where all three stand relative to one another. There are three criteria: a service-quality score and a delivery-reliability score ("higher is better"), and a unit-cost index ("lower is better"). The unit has set the weights at 0.40 for service quality, 0.35 for delivery reliability and 0.25 for cost; it has fixed the certain-outranking threshold at 0.65 and the possible-outranking threshold at 0.50.
| Supplier | Service quality | Delivery reliability | Unit-cost index |
|---|---|---|---|
| T1 | 3 | 5 | 4 |
| T2 | 5 | 3 | 2 |
| T3 | 4 | 4 | 3 |
| Direction | higher is better | higher is better | lower is better |
| Weight | 0.40 | 0.35 | 0.25 |
The method compares every pair of suppliers from two angles: on which criteria is one at least as good as the other (concordance), and is there a weakness large enough to refute that outranking (discordance). From these comparisons the certain and possible outranking relations are built, two separate graphs are formed, and the order is derived both from the best downward and from the worst upward.
| Rank | Supplier |
|---|---|
| 1 | T2 |
| 2 | T3 |
| 3 | T1 |
The result reads as follows. T2 is superior to the other two on both service quality and cost; it holds the highest quality score and the lowest cost index. Neither T1 nor T3 has a weakness large enough to veto T2 on any criterion. T3 overtakes T1 on delivery reliability and cost while trailing on service quality, but this gap is not large enough to undo T3's advantage.
T1 finishes last despite being the best on delivery reliability, because it is the weakest on both service quality and cost, and the combined weight of these two criteria is 0.65.
The procurement unit hesitates here: this order rests on the discordance (veto) ceiling being kept at a loose value such as 1.0. If the ceiling is pulled below 0.50 (to, say, 0.49), that is, if the condition "never much worse on any criterion" is tightened, no supplier can outrank another and all three fall into a single equivalence class. With the ceiling kept at 0.50 or above, the order (T2, T3, T1) returns. This shows that the order is produced as much by the chosen veto ceiling as by the data.
In the report: "With the chosen thresholds (certain concordance 0.65, possible concordance 0.50, discordance ceiling 1.0), the full order is T2 > T3 > T1. Once the discordance ceiling is pulled below 0.50, the three suppliers can no longer be separated from one another; the order is sensitive to this ceiling."
Source: illustrative example; DecisionMind's own validation example. The calculation logic is based on Roy and Bertier's (1973) ELECTRE II method, but this table and its figures are not taken from the article.
2. Transport: A municipality's prioritisation of public-transport route proposals
A municipal transport department will place three proposed new bus routes in an order of implementation. There are three criteria: estimated daily passenger numbers, the route's overlap with existing lines ("lower is better"; overlap should be small), and operating cost per kilometre ("lower is better"). The department has given passenger numbers the highest weight, and has fixed the certain and possible concordance thresholds at the averages used in previously approved route studies.
The method compares the three routes pairwise, builds the certain and possible outranking relations, derives the descending and ascending orders and intersects them. Suppose the result places the route reaching the most passengers first. The second route stays in second place through its low cost and small overlap; the third route, being middling on every criterion, finishes last.
The department's hesitation: the order between the first and second routes comes out firmly. But if the descending and ascending orders disagree over the second and third routes, the method may declare this pair "incomparable". In that case the department must choose between taking both routes forward in the same implementation wave or adding a further criterion, such as population density. An incomparable outcome is a sign that the dataset is not clear enough to separate these two.
In the report: "With the certain and possible concordance thresholds used, the leading route is clear; the order between the second and third routes is incomparable at these thresholds, and an additional criterion or a review of the thresholds is recommended."
3. Insurance: An insurer's ranking of reinsurance partners
An insurance company will produce a full ranking of three candidate reinsurance partners. There are three criteria: a credit-rating score and a claims-payment-speed score ("higher is better"), and annual premium cost ("lower is better"). The risk committee has given the credit-rating criterion the highest weight and has kept the discordance ceiling strict, reflecting in the thresholds the principle that "no candidate may carry a very serious weakness".
The method compares the three candidates pairwise. Because of the strict discordance ceiling, one candidate, the one with the lowest credit rating, cannot outrank any other despite good performance on the other criteria, and falls to last place. The order between the other two candidates is settled by finer differences, since neither has a clear weakness relative to the other.
The committee's hesitation: the last-placed candidate's credit rating has not been offset by its advantage on the other two criteria; this is a direct consequence of ELECTRE II's veto logic. If the committee wants to place this candidate on a "conditional shortlist" rather than eliminate it outright, that reflects an additional decision rule of the committee's own, not the order produced by ELECTRE II. This should be stated in the report.
In the report: "The discordance ceiling has been fixed so that a weakness in credit rating is not offset by strength on the other criteria; the last-placed candidate's advantage in claims-payment speed does not change the order because of this ceiling."
4. What Not to Do
Had cost been marked "higher is better" in the same supplier table, this would build a concordance in favour of T1's highest cost, and the order would become meaningless. A second error is fixing the discordance ceiling, without regard to the data, at a "standard" value (for example, always 1.0 or always 0.10). Presenting the result of this choice as "the method's own discovery" rather than as a consequence of it is part of the same error. A third error is computing only the descending order and declaring "T2 > T3 > T1 is the firm result" without intersecting it with the ascending order. If the two directions disagree, the result may be incomparable, and this check must not be skipped.
Extensions: for different data types
ELECTRE II has 4 extensions in the library. Same decision logic, different data type: if your data is not a classical number, read the relevant data type card, then open that member.
Sources
For the formulas behind each step, the intermediate tables and citation formats (BibTeX, RIS, APA), see the DecisionMind method page: decisionmind.app/library/electre-ii
Roy, B., & Bertier, P. (1973). La méthode ELECTRE II: une application au media-planning. In Operational Research '72: Proceedings of the Sixth IFORS International Conference on Operational Research (pp. 291–302). North-Holland. (no DOI)
Roy, B. (1991). The outranking approach and the foundations of ELECTRE methods. Theory and Decision, 31(1), 49–73. DOI: 10.1007/BF00134132
Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1), 1–29. DOI: 10.1016/j.ejor.2015.07.019
Wang, Y.-M., & Luo, Y. (2009). On rank reversal in decision analysis. Mathematical and Computer Modelling, 49(5–6), 1221–1229. DOI: 10.1016/j.mcm.2008.06.019