約略集合是可以有效產生分類規則的演算法,但是約略集合卻無法在新增物件後產生新的規則。增量式演算法是以約略集合為基礎的演算法,當有物件新增時,此演算法可在短時間取得決策規則而不需重新對此動態資料庫進行規則歸納。然而,大部分的決策規則都只考慮到單一決策結果的情形而忽略了多元結果的情形,對多元結果來說,找出有意義的最簡化屬性集合,並確保規則的強度與穩定性是很重要的。到目前為此,將增量式演算法運用到多元結果的研究還是很少,為了在傳統的約略集合方法上找出有意義的決策規則並減少其時間複雜度,本研究提出了針對多元結果問題的增量式演算法。在研究案例中,此方法被運用在旅遊業,因為旅遊是二十一世紀的主要休閒娛樂活動,因此透過此方法分析多元結果對旅遊的影響程度是值得研究的。
RS has the ability to generate a set of classification rules efficiently, but it cannot generate rules incrementally when new objects are add-in. The incremental technique based on RS is a way to have a decision rule in a short time when new data add-in without re-implementing the rule sets in a dynamic database. However, a decision rule always consists of single outcome without considering multiple outcomes situation. It is an important approach to identify meaningful reducts and ensure the strength and stability of rules to multiple outcomes. Nowadays, there are few studies in incremental rough set theory, specially applied on multiple outcomes. To generate meaningful the decision rules and reduce the time complexity to the traditional RS approaches, this study proposes an incremental technique to multiple outcomes. In the case study, the proposed approach is applied to the tourism to validate the superiority since tourism has become the leading leisure activity of the 21st century and tourism usually influenced by multiple decision-making outcomes.
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