{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:06:16Z","timestamp":1774926376479,"version":"3.50.1"},"reference-count":26,"publisher":"World Scientific Pub Co Pte Lt","issue":"Suppl. 1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:p> We introduce comfort decision modeling for decision problems in which an alternative is to be selected based on a measure of satisfaction we refer to as comfort. We define comfort as the difference between the payoff received by selecting a particular strategy and the worst payoff that could have been received under the manifestation of the same state-of-nature. We define the effective comfort associated with an alternative as the aggregation of an alternative\u2019s comforts across all possible states-of-nature. We study several methods of aggregating an alternative\u2019s individual comforts across the different states-of-nature, incorporating various types of information about the uncertainty associated with the states-of-nature. We provide a Comfort Decision Model to determine the value of alternatives utilizing attitudinal measures of the decision maker. We demonstrate a process of performing sensitivity of the resulting decision to a measure of the attitude of the decision maker. Lastly, we use an illustration to show the practicability and cogency of the new method. <\/jats:p>","DOI":"10.1142\/s0218488518400081","type":"journal-article","created":{"date-parts":[[2018,12,6]],"date-time":"2018-12-06T01:03:02Z","timestamp":1544058182000},"page":"141-163","source":"Crossref","is-referenced-by-count":4,"title":["Comfort Decision Modeling"],"prefix":"10.1142","volume":"26","author":[{"given":"Kurt J.","family":"Engemann","sequence":"first","affiliation":[{"name":"Center for Business Continuity and Risk Management, Iona College, New Rochelle, NY 10801, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronald R.","family":"Yager","sequence":"additional","affiliation":[{"name":"Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,1,10]]},"reference":[{"issue":"3","key":"p_1","first-page":"322","volume":"3","author":"Engemann K. 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