Multicriteria Correlation Preference Information (MCCPI)-Based Ordinary Capacity Identification Method
نویسندگان
چکیده
منابع مشابه
INFORMATION MEASURES BASED TOPSIS METHOD FOR MULTICRITERIA DECISION MAKING PROBLEM IN INTUITIONISTIC FUZZY ENVIRONMENT
In the fuzzy set theory, information measures play a paramount role in several areas such as decision making, pattern recognition etc. In this paper, similarity measure based on cosine function and entropy measures based on logarithmic function for IFSs are proposed. Comparisons of proposed similarity and entropy measures with the existing ones are listed. Numerical results limpidly betoken th...
متن کاملPreference Programming – Multicriteria Weighting Models under Incomplete Information
Useful decision recommendations can often be provided even if the model parameters are not exactly specified. The recognition of this fact has spurred the development of multicriteria methods which are capable of admitting and synthesizing incomplete preference information in hierarchical weighting models. These methods share similarities in that they (i) accommodate incomplete preference infor...
متن کاملTodim-fse: a Multicriteria Classification Method Based on Prospect Theory
This paper introduces TODIM-FSE, a multicriteria method for classifying alternatives based on Prospect Theory. TODIM-FSE therefore relies on the TODIM method combined with the Fuzzy Synthetic Evaluation approach. TODIM-FSE makes use of the innovative “contribution” concept, not used previously for multicriteria classification purposes. This notion is central to the classification procedure of T...
متن کاملSkyline Queries for Preference-Based Information Systems
Cooperative database retrieval is a challenging problem. In today‟s information systems instead of just retrieving all objects from databases that exactly match a user‟s query, often a set of objects best matching the query attributes is desired. Starting from a set of individual user preferences for each attribute, the query can be relaxed step by step until a satisfying result set can be retu...
متن کاملArgumentation-Based Preference Modelling with Incomplete Information
No intelligent decision support system functions even remotely without knowing the preferences of the user. A major problem is that the way average users think about and formulate their preferences does not match the utility-based quantitative frameworks currently used in decision support systems. For the average user qualitative models are a better fit. This paper presents an argumentationbase...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematics
سال: 2019
ISSN: 2227-7390
DOI: 10.3390/math7030300