Multiple Attribute Decision Making (MADM) refers to the problem of selecting among alternatives associated with multiple, usually conflicting, attributes. Based on incomplete preference information on alternatives given by the Decision Maker (DM), this paper proposes an mathematical programming approach to solve the MADM problem. To reflect the DM’s preference information, an optimization model...

In selecting an optional alternative in an environment of multiple attribute group decision making, different attributes of the alternative are often considered as with quantitative and qualitative information. Consequently, decision making problems may include preference information in different formats. In this paper, a lattice-based linguistic-valued weighted aggregation (LVWA) operator is p...

This paper compares two multi-criteria decision making (MCDM) approaches based on linguistic label assessment. The first approach consists of a modified fuzzy TOPSIS methodology introduced by Kaya and Kahraman in 2011. The second approach, introduced by Agell et al. in 2012, is based on qualitative reasoning techniques for ranking multi-attribute alternatives in group decision-making with lingu...

In view of data mining for the decision-making of the inland waterway transportation, we study a rough set based approach to extract the decision rules with historical maritime accidents data in the inland rivers. In order to solve the NP-hard problem of attribute reduction in Rough Set Theory, the genetic algorithm based attribute reduction is proposed and described in detailed steps. Noting t...

This study aims to further investigate the Unconscious Thought Theory (UTT, Dijksterhuis & Nordgren, 2006), namely whether individual differences account for differences in choice made after either deliberation (conscious thought, CT) or distraction (unconscious thought, UT). Also, subjective weighting was considered and choice options were constructed following individual preferences, hence av...

An approach to decision making that integrates multi-attribute decision techniques with expert systems is described. The approach is based on the explicit articulation of qualitative decision knowledge which is represented by a tree of attributes and decision rules. The decision making process is supported by a specialized expert system shell for interactive construction of the knowledge base, ...

The dynamic multi-attribute decision making problems with intuitionistic fuzzy information are investigated. The notions of intuitionistic fuzzy variable and uncertain intuitionistic fuzzy variable are defined, and two new aggregation operators: dynamic intuitionistic fuzzy weighted averaging (DIFWA) operator and uncertain dynamic intuitionistic fuzzy weighted averaging (UDIFWA) operator are pr...

Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evalu...

During the last few years, more and more researchers have been applying IFSs to multi-attribute decision making under various different situations, and a lot of work has been done (Chen and Tan 1994; Hong and Choi 2000; Xu and Yager 2006; Boran et al. 2009; Xu 2010a, c; Zhao 2009; Zhao et al. 2010; Tan and Chen 2010; Wei 2010a; Xu and Xia 2012a; Xu and Cai 2010; Wu and Chen 2011, etc.). The con...

With respect to multiple attribute decision making problem with triangular fuzzy linguistic information, in which the attribute weights and expert weights take the form of real numbers, and the preference values take the form of triangular fuzzy linguistic variables, a operator for aggregating triangular fuzzy linguistic variables, such as the fuzzy linguistic weighted harmonic mean (FLWHM) ope...