… this new opinion to increase the consistency level of the preference relation. In this section,
we develop an interactive algorithm to construct a complete LPR with additive consistency. …

… preferences are assumed to take the form of a binary relation on Y. We present an algorithm
that requires the identification of preferences … The convergence of the adopted algorithm to a …

… probabilistic linguistic preference relations (NPLPRs). … preference relations, it is necessary
to further study the consistency of NPLPRs. For this purpose, an interactive algorithm …

… User preferences are input to the Visual Analytics layer (top of figure) using 3 intuitive … ,
pairwise relationships between items are extracted and sent to the machine learning algorithm at …

… (GDM) with normalized probability linguistic preference relations (NPLPRs). To achieve this
… interactive algorithm is provided to derive common probability linguistic preference relations (…

… Although both algorithms provide robust results in preference prediction, we decided to
integrate Ranking by Pairwise Comparison since it provides better estimations. The method …

… the importance weights of fuzzy preference relations and multiplicative preference relations.
In addition, we will also introduce iterative algorithms for establishing acceptable levels of …

… preference relations. In Sect. 1.2, we present two estimation algorithms for the intuitionistic
preference relations in … The first algorithm is used to estimate the missing elements using only …

… (3) general algebraic laws governing the winnow operator and its interaction with other
relational … We show here several algorithms that can be used to compute the result of the winnow …

… interaction mode addresses design goals for interactive … algorithm [27] employed in our
college ranker system. We aim to provide the reader with the intuition behind these algorithms as …