Decision-making with Sugeno integrals: DMU vs. MCDM

نویسندگان

  • Miguel Couceiro
  • Didier Dubois
  • Henri Prade
  • Tamás Waldhauser
چکیده

This paper clarifies the connection between multiple criteria decision-making and decision under uncertainty in a qualitative setting relying on a finite value scale. While their mathematical formulations are very similar, the underlying assumptions differ and the latter problem turns out to be a special case of the former. Sugeno integrals are very general aggregation operations that can represent preference relations between uncertain acts or between multifactorial alternatives where attributes share the same totally ordered domain. This paper proposes a generalized form of the Sugeno integral that can cope with attributes which have distinct domains via the use of qualitative utility functions. In the case of decision under uncertainty, this model corresponds to state-dependent preferences on act consequences. Axiomatizations of the corresponding preference functionals are proposed in the cases where uncertainty is represented by possibility measures, by necessity measures, and by general monotonic set-functions, respectively. This is achieved by weakening previously proposed axiom systems for Sugeno integrals.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Sugeno fuzzy integral of concave functions

The fuzzy integrals are a kind of fuzzy measures acting on fuzzy sets. They can be viewed as an average membershipvalue of fuzzy sets. The value of the fuzzy integral in a decision making environment where uncertainty is presenthas been well established. Most of the integral inequalities studied in the fuzzy integration context normally considerconditions such as monotonicity or comonotonicity....

متن کامل

Decision-making with Sugeno integrals

This paper clari es the connection between multiple criteria decisionmaking and decision under uncertainty in a qualitative setting relying on a nite value scale. While their mathematical formulations are very similar, the underlying assumptions di er and the latter problem turns out to be a special case of the former. Sugeno integrals are very general aggregation operations that can represent ...

متن کامل

The Use of the Discrete Sugeno Integral in Decision-Making: A Survey

An overview of the use of the discrete Sugeno integral as either an aggregation tool or a utility function is presented in the qualitative framework of two decision paradigms: multi-criteria decision-making and decision-making under uncertainty. The parallelism between the representation theorems in both settings is stressed, even if a basic requirement like idempotency should be explicitely st...

متن کامل

Decision-Making with Sugeno Integrals - Bridging the Gap Between Multicriteria Evaluation and Decision Under Uncertainty

This paper clari es the connection between multiple criteria decisionmaking and decision under uncertainty in a qualitative setting relying on a nite value scale. While their mathematical formulations are very similar, the underlying assumptions di er and the latter problem turns out to be a special case of the former. Sugeno integrals are very general aggregation operations that can represent ...

متن کامل

On a modeling of decision making with a twofold integral

A Sugeno and a Choquet integrals are commonly used fuzzy integrals for aggregation. As a generalization of both integrals, the twofold integral is induced. The twofold integral enables us to interpret two measures from a different semantics viewpoint. One corresponds to the Choquet integral and the other corresponds to the Sugeno integral. Our work is about building models for the twofold integ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012