In this paper, we first use a fuzzy preference relation with a membership function representing preference degree forcomparing two interval-valued fuzzy numbers and then utilize a relative preference relation improved from the fuzzypreference relation to rank a set of interval-valued fuzzy numbers. Since the fuzzy preference relation is a total orderingrelation that satisfies reciprocal and tra...

UNLABELLED BACKGROUND & OBJECTIVESI: Transovarial transmission of dengue virus in the Aedes vectors is now a well-documented phenomenon reported from many parts of the endemic areas in the world, which played an important role in initiating and maintaining the outbreak in human populations. This study investigated the factors affecting breeding habitats and the relationship with transovarial de...

Inspired by the concept of deviation measure between two linguistic preference relations, this paper further defines the deviation measure of a linguistic preference relation to the set of consistent linguistic preference relations. Based on this, we present a consistency index of linguistic preference relations and develop a consistency measure method for linguistic preference relations. This ...

The last two decades have seen a growing interest in the development of automated agents that are able to negotiate on the user’s behalf. When representing a user in a negotiation, it is essential for the agent to understand the user’s preferences, without exposing them to elicitation fatigue. To this end, we propose a new model in which a negotiating agent may incrementally elicit the user’s p...

Groups engaged in a mutual activity often need assistance in order to reach a joint decision. However, the group members’ personal preferences are often unknown and need to be collected. Querying for preferences can annoy the users. We suggest employing a voting mechanism that finds a winning item under incomplete settings. We present a practical method for eliciting the preferences, so that wi...

Preference relations can provide a more realistic model of random phenomena than quantita­ tive probability or belief functions. In order to use preference relations for reasoning under un­ certainty, it is necessary to perform sequential and parallel combinations of propagated infor­ mation in a qualitative inference network. This paper discusses the rules for such sequential and parallel comb...