Under uncertain environments, how to characterize individual preferences more naturally
and aggregate parameters better have been hot research topics in multiple attribute …

The stability and robustness analysis is a vital issue of fuzzy soft inference. In this paper, λ—
Triple I inference methods based on the fuzzy soft modus ponens (FSMP) and fuzzy soft …

The vast number of transformations in the present business environment, its significant
growth and the variety of its possibilities, together with the need for accelerated development …

The aim of this paper is to discuss the Triple Ⅰ restriction reasoning methods for fuzzy soft
sets. Triple Ⅰ restriction principles for fuzzy soft modus ponens (FSMP) and fuzzy soft …

This paper focuses on triple I inference method based on interval-valued fuzzy soft sets.
Computational formulas for both interval-valued fuzzy soft modus ponens (IVF-SMP) and …

Цель работы состоит в формировании алгоритма диагностики и определении
направлений улучшения инновационной культуры персонала на основе преодоления …

This study presents the concept of multi-granularity fuzzy soft rough sets (MGFSR-sets). A
pair of multi-granularity fuzzy soft rough approximations is proposed. Basic properties of …

The soft set theory proposed by Molodtsov is regarded as an effective mathematical tool for
dealing with uncertainties. This paper discusses the approximate reasoning based on the …

In this paper, the notions of L-fuzzy soft quantales and L-fuzzy soft ideals over quantales are
proposed. Some properties of L-fuzzy soft quantales (ideals) related to operations of L-fuzzy …

This paper is devoted to the discussion of reverse triple I method based on interval-valued
fuzzy soft set. Reverse triple I method for interval-valued fuzzy soft modus ponens (IVFSMP) …